SlideShare a Scribd company logo

Biometrics/fingerprint sensors

Jeffrey Funk, profile picture
Jeffrey Funk

The document provides a comprehensive overview of fingerprint biometric technology, detailing its unique characteristics, advantages over traditional security methods, and various applications. It highlights the high accuracy and security of fingerprint recognition compared to other biometric types, outlines the technology's hardware and software requirements, and discusses market trends and consumer acceptance. Fingerprint technology is positioned as a reliable and convenient solution for personal and mobile security, facilitating a shift towards a new lifestyle in the digital age.

Business
1 of 61
Downloaded 637 times
1
2
3
4
5
6
7
8
9
10
11
Most read
12
13
Most read
14
15
16
17
18
19
20
Most read
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
Biometric Technology -- Finger Print Business Opportunity Team Members: YANG QIAN A0147178W LIM KIM CHYE A0147179U QUEK YONG GUAN A0147276X SONG ZHIWEI A0026195E For information on other technologies see http://www.slideshare.net/Funk98/presentations
2 Technology Overview Applications PerformanceHardware/Software Cost Analysis Entrepreneur Opportunity Recommendation SystemFinger Print Technology
3 • A biometric identification system provides an automated method of recognizing an individual based on their unique physiological characteristics  Metrics related to human characteristics  These metrics are Distinctive and Measurable (label and describe individuals) What is Biometric?
4 Why Biometric? • Traditional, security is by what we: –Know (PIN, Password) –Have (Key, smart card) • Both of these security measures can be hacked, stolen, forgotten, duplicated and have too many. • Modern, security is by we: –Are (Body) • It is not easy to create a copy because its unique and high accuracy.
5 Type of Biometric? 1. Finger print 2. Palm veins 3. DNA 4. Iris recognition 5. Facial recognition 6. Voice recognition 7. Signature recognition 8. Palm print 9. Hand geometry 10.Retina scan 11.Ordure/Scent https://en.wikipedia.org/wiki/Biometrics
6 Comparison Between Biometric Biometric Technology Accuracy Cost Device Required Social Acceptability DNA High High Test Equipment Low Iris recognition High High Camera Medium -Low Retina scan High High Camera Low Facial recognition Medium - Low Medium Camera High Voice recognition Medium Medium Microphone, telephone High Hand geometry Medium - Low Low Scanner High Finger print High Medium Scanner Medium Signature recognition Low Medium Optic pen, touch panel High http://kaitleencrowe.com/2015/01/22/biometric/ • Compared with other Bio Technologies, Finger Print is the best choice
Uniqueness Finger Skin Pattern PANKANTI, S., PRABHAKAR, S., AND JAIN, A. K. On the individuality of fingerprints. IEEE Trans. Pattern Anal. Mach. Intell. 24 (August 2002), 1010– 1025. Available from: http://portal.acm.org/citation. cfm?id=605089.605091. 204, 212 • Human finger skin consists of friction ridges with pores. • These ridges are formed in the ninth week of a fetal development life, and remains the same all life long. • A severely injured skin may be reconstructed to the same as before. • Identical twins have different fingerprints and no two people have the same fingerprint. • Every individual’s fingerprint is highly unique and suitable for use as a form of authentication.
8 Fingerprint Security • Deny Intruders – Higher Accuracy computation • 97% will return correct results • Prevent Re-construction of fingerprint data – Image protection • Minutiae is retrieved and template created – Encrypted data – Image destruction • Cannot reconstruct the fingerprint from data • Fake Fingerprints Detection – Ignore Latent Print Residue • Cannot steal from previous user – Detect fake/amputated finger • Sensors detect presences of – Temperature, Pulse, Heartbeat sensors, Blood flow
9 Technology Overview Applications PerformanceHardware/Software Cost Analysis Entrepreneur Opportunity Recommendation SystemFinger Print Technology
How Fingerprint are acquired? Source: http://360biometrics.com/faq/fingerprint_scanners.php Optical Sensor Ultrasonic with RF Sensor Optical Sensor module Capacitive Sensor Thermal Sensor
Optical Fingerprint Sensors Problem: 1. Scratched or dirty touch surface can cause bad image 2. Easily fooled by fake finger 3. Bulky design, only suitable for larger static installation Function: 1. Reflected image of fingerprint captured by camera from the underside of a prism. 2. Image is stored for comparison with database.
Capacitive Fingerprint Sensing http://appleinsider.com/articles/13/08/07/apple-inc-gets-its- fingerprints-on-advanced-touch-sensor-appears-difficult-for-android- to-copy Ridge Valley
Ultrasonic Fingerprint Imaging http://www.sonavation.com/ultrasound-biometric-sensor/ https://youtu.be/FtKKZyYbZtw (1:30)
14 Fingerprint Sensors Comparison Optical Capacitive Ultrasound Size Relatively big and require camera Can embed into small devices Can embed into small devices Method Image capture RF Field RF Field Cost Middle Low High Accuracy May be affected by dirt or water May be affected by dirt or water Will not be affected by dirt or water Working Current 120 mA 200 mA 6 µA Source: http://yourbusiness.azcentral.com/comparison-fingerprint-scanners-27754.html http://artofcircuits.com/product/optical-fingerprint-sensor-module-fpm10a http://www.techshinobiometrics.com/products/fingerprint-identification-products/fingerprint-oem-modules/ http://www.sonavation.com/ultrasound-biometric-sensor
Examples of Commercial Fingerprint Scanners http://perso.telecom-paristech.fr/~chollet/Biblio/Cours/Biomet/fribourg/maltoni_1.pdf *The standard fingerprint image resolution in law enforcement applications is 500 pixels per inch (ppi) Ppi = Dpi
16 3 Levels of Fingerprint classification 1. Loops ,Arches , or Whorls 2. Individual characteristic (Minutiae) http://shs2.westport.k12.ct.us/forensics/04-fingerprints/fingerprints_handout.htm
17 3 Levels of Fingerprint classification 3. Pores and Ridges 1 Pores and Ridges: Fingerprint Matching Using Level 3 Features by Jain, A; Yi Chen; Demirkus, M 2 Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features by Jain, A.K; Yi Chen; Demirkus, M
18 Basic Idea • After these classification, a key is generated by the software algorithm. • After finger print reader read your fingerprint, software will compare with database. http://gizmodo.com/apple-finally-explains-touch-id-security-in-detail-1532298901 Scan and Classify Generate a unique user Key Unlock access
19 Cryptography • There is two keys: Public key Private key (Fingerprint key) • The basic idea is:  Sender encrypts data with his receiver’s public key and send out.  Receiver will use his/her private key to decrypt the data. No one can decrypt without receiver’s private key! http://gizmodo.com/apple-finally-explains-touch-id-security-in-detail-1532298901 Mathematically Linked
20 Software Algorithm • Software Classification • http://shs2.westport.k12.ct.us/forensics/04-fingerprints/fingerprints_handout.htm • http://www.bioelectronix.com/what_is_biometrics.html
Fingerprint Matching Software • The most commonly used are: 1. Minutiae matching (commonly used) 2. Pattern matching http://www.biometric-solutions.com/solutions/index.php?story=fingerprint_recognition http://biometrics.mainguet.org/types/fingerprint/fingerprint_algo.htm
Advance Minutiae Based Algorithm (AMBA) • Two processes 1. Feature Extractor 2. Matcher http://www.supremasolution.com/
AMBA – Feature Extractor • Feature Extractor – Capture Image – Enhance Ridge (Normalization, Local orientation estimation, Local frequency estimation, Region mask estimation and filtering) – Extract Minutiae (Classification) http://http://www.supremasolution.com/ http://www.cse.iitk.ac.in/users/biometrics/pages/finger.htm
AMBA - Matcher • Matcher – Used to match fingerprint – Trade-off between speed and performance – Group minutiae and categorize by 12 types • Large number of certain type can result in faster searches http://www.supremasolution.com/
Example: Apple ID touch • Secure Enclave - using its microprocessor (A7) to create protection to user’s data • When device is locked: – Data protection keys are wrapped (encapsulated) – Data are not accessible • When device is unlocked by the fingerprint sensor: – Data protection key are unwrapped (decapsulated) – Iphone is unlocked and data is accessible http://gizmodo.com/apple-finally-explains-touch-id- security-in-detail-1532298901
How Fingerprint Biometric is used • Enrollment – Storing of fingerprint in database • Verification – Known Identification of person – Compare the person’s fingerprint in database – One to one comparison • Identification –Unknown Identification of person – Search through database for a match – One to many comparison Source: An Introduction to Biometric Recognition, Anil K. Jain, Fellow, IEEE, Arun Ross, Member, IEEE, and Salil Prabhakar, Member, IEEE, January 2004
27 Technology Overview Applications PerformanceSoftware Cost Analysis Entrepreneur Opportunity Recommendation SystemFinger Print Technology
Optical Resolution vs Accuracy http://biolab.korea.ac.kr/pubs/JainFpMatching_IEEEComp10.pdf Jain, Feng, Nandakumar, Anil K. Kain, Jianjiang Fengm Karthik Nandakumar, 2010. Fingerprint Matching. Computer, 0018-9162, 36-44. [a] http://itlaw.wikia.com/wiki/False_non-match_rate [b] http://itlaw.wikia.com/wiki/False_match_rate False Non-Match Rate (FNMR) is the failure of a biometric system to identify a biometric subject or to verify the legitimate claimed identity of a biometric subject. False Match Rate (FMR) is the proportion of the completed biometric non-match comparison trials that result in a false match. [b] False Positive Identification Rate (FPIR) occurs when the system finds a hit for a query fingerprint that is not enrolled in the system. False Negative Identification Rate (FNIR) occurs when it finds no hit or a wrong hit for a query fingerprint enrolled in the system.
Image quality vs EER (4 software algorithm) Image quality is important, better image, lower EER Source: Incorporating Image Quality in Multi-algorithm Fingerprint Verification by Julian Fierrez-Aguilar, Yi Chen, Javier Ortega-Garcia, and Anil K. Jain. ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 Campus de Cantoblanco 28049 Madrid, Spain {julian.fierrez, avier.ortega}@uam.es. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48823, USA Equalerrorrate(thelower,thebetter)
Low Q Image Vs High Q Image (FRR & FAR) Source: Incorporating Image Quality in Multi-algorithm Fingerprint Verification by Julian Fierrez-Aguilar, Yi Chen, Javier Ortega-Garcia, and Anil K. Jain. ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 Campus de Cantoblanco 28049 Madrid, Spain {julian.fierrez, avier.ortega}@uam.es. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48823, Ideal Ideal
Sensor Duration vs FAR&FRR http://www.neurotechnology.com/fingerprint-scanner-biometrika-fx-2000.html Fingerprint Sensing Techniques, Devices and Applications Rahul Singh kingtiny@cs.cmu.edu 30th April 2003 Test data 1. Database of 100 users (non-experts) 2. Low quality fingerprints Efficiency TASK SPEED_DEFAULT SPEED_FAST Feature extraction 350 ms 260 ms Matching 120 ms 47 ms Identity verification 470 ms 307 ms Accuracy: Time taken SPEED_DEFAULT SPEED_FAST FAR FRR FAR FRR 0.3500 0.0049 (0.49%) 0.0005 (0.05%) 0.0032 (0.32%) 0.0009 (0.09%) 0.3750 0.0025 (0.25%) 0.0010 (0.10%) 0.0014 (0.14%) 0.0014 (0.14%) 0.4000 0.0011 (0.11%) 0.0014 (0.14%) 0.0005 (0.05%) 0.0020 (0.20%) 0.4250 0.0006 (0.06%) 0.0019 (0.19%) 0.0002 (0.02%) 0.0034 (0.34%) 0.4500 0.0004 (0.04%) 0.0026 (0.26%) 0.0000 (0.00%) 0.0049 (0.49%) 0.4750 0.0000 (0.00%) 0.0036 (0.36%) 0.0000 (0.00%) 0.0063 (0.63%) FX2000 Optical Sensor Specification: Resolution: 569 ppi, Image Size: 296 x 570 pixels Device size: 122 x 73 x 61mm False Acceptance rate (FAR) is the probability that the system incorrectly authorizes a non-authorized person, due to incorrectly matching. False Rejection Rate (FRR) is the probability that the system incorrectly rejects access to an authorized person, due to failing to match
32 Microprocessor Improvements • Size reduced, Speed increasing, Power consumption http://www.futuretimeline.net/subject/computers-internet.htm +http://www.singularity.com/charts/page61.html http://www.androidauthority.com/smartphone-hardware-2015-405022/
Technology Enabler for Finger-print Authentication in Mobile phone • High-resolution sensors –Capture higher resolution fingerprint data • Micro-Processors –Higher Processor Speed • Storage Capacity –Higher storage in mobile devices • Smaller Form Factor –Can be installed in mobile devices GAFUROV, D., BOURS, P., YANG, B., AND BUSCH, C. Guc100 multi-scanner fingerprint database for inhouse (semi-public) performance and interoperability evaluation. Computational Science and its Applications, International Conference (2010), 303–306. 203, 212
34 Technology Overview Applications HardwareSoftware Cost Analysis Entrepreneur Opportunity Recommendation SystemFinger Print Technology
35 Camera Based finger print sensor cost analysis https://en.wikipedia.org/wiki/Touch_ID http://www.imore.com/how-touch-id-works http://biometrics.mainguet.org/types/fingerprint/fingerprint_sensors_manufacture.htm Component Cost: 1. Finger Print sensor 53% 2. Cover glass 10% 3. Processing assembly 18% 4. Metal Rim 12% 5. F-PCB Component 7% Key components: 1. laser-cut sapphire crystal 2. stainless steel detection ring 3. Touch ID CMOS sensor 4. Tactile Switch
36 http://biometrics.mainguet.org/types/fingerprint/fingerprint_sensors_manufacture.htm Key component -- Finger Print Sensor Volume vs ASP • Finger print sensor price drop rapidly with high demanding growth in future
37 https://www.tractica.com/newsroom/press-releases/fingerprint-readers-in-mobile-devices-to-surpass-1-billion-unit-shipments-annually-by-2021/ Finger Print Sensor Market Demand • High demanding forecast for fingerprint sensor, especially in Asian market. Which can reduce fingerprint sensor manufacturing cost
38 Key component -- Display Cover glass demand http://www.ledinside.com/intelligence/2014/6/wearable_devices_to_spur_sapphire_market_demands_in_2015_analyzes_ledinside http://electroiq.com/blog/2015/07/smartphone-and-tablets-still-drive-demand-for-cover-glass-as-industry-looks-to-smart-watches-for-growth/  The major market demand growth is from smart phone cover glass  Display Cover glass demand keep increasing in past 3 years and market demand is keep increasing until 2019
39 Key component -- Sapphire Cost Forecast http://www.i-micronews.com/component/hikashop/product/sapphire-applications-market-2015-from-led-to-consumer-electronic.html • Sapphire is a major material for display cover, especially for hand phone camera cover and finger print sensor cover. The overall price from different manufacturing process is keep going down.
Biometric Market Trends – Fingerprint Scanners 40Source: http://www.bloomberg.com/news/articles/2013-08-22/apple-iphone-rumor-boosts-biometrics-companies
Patents - Fingerprint Sensing 41 Fingerprint Sensors Patent Landscape New strong IP enthusiasm and new players such as Apple are leaving their imprint on the market Publication Jan. 2015
42 Technology Overview Applications HardwareSoftware Cost Analysis Entrepreneur Opportunity Recommendation SystemFinger Print Technology
Consumer Acceptance to Fingerprint Authentication • A Survey was conducted in 2010 on 278 Students on their acceptance level to use fingerprint for authentication – 58% of respondents had used fingerprint for authentication (Notebook, facility access, etc.). – Feedback on the likely services that they would use fingerprint authentication Biometrictechnologyinretailing:Willconsumersaccept fingerprintauthentication? Richard Clodfelter Department ofRetailing,TheCollegeofHospitality,Retail,&SportManagement,UniversityofSouthCarolina,SC29208Columbia,UnitedStates
44 Summary of Fingerprint Applications -- Changing Lifestyle • People are willing to use fingerprint technology instead of traditional way in daily life, this is because fingerprint technology is reliable and convenient. • Lifestyle is changing with fingerprint technology widespread used and hand phone is a major base of this technology.
Without fingerprint With fingerprint Mobile Phone based Applications -- Unlock hand phone • Since security concern, Apple and some other companies change hand phone password from 4 number to 6 number which means users need longer time to unlock their hand phone. • Unlock your phone with fingerprint to save time. Hand Phone can be unlock while you press home bottom • Hand phone integrate reliable technology -- fingerprint function is a key to open the door of new lifestyle.
Mobile Phone based Applications -- Fingerprint technology in Banking Bank Branch Bank Mobile APP • People save time and easily to manage their bank account by hand phone • Banks can reduce No. of branches which means lower cost for banks.
47 https://www.linkedin.com/pulse/biometrics-banking- hussain- Mobile Phone based Applications -- Fingerprint Technology in Banking • Compared with other Biometrics technologies, fingerprint technology widely used in banking • Asian and US are largest market in fingerprint banking.
48 Mobile Phone based Applications -- Mobile Bill Payment AXS machine AXS online • Without fingerprint, people don’t want to pay bill by mobile phone, although some App have function of bill payment, people are not willing to save credit card info in those App. They have big concern on safety! • With Fingerprint, people can pay bill by Mobile phone without safety concern.
49 Mobile Phone based Applications -- Mobile Manage Stock Buy/Sell at Stock market Buy/Sell on Handphone • More easier to manage your Stock account by hand phone. Fingerprint replace password, Safer than password based online Stock.
Mobile Phone based Applications -- Online Shopping Traditional shopping Online shopping • Same concern on online shopping, people are not willing to purchase stuff from online store. • Fingerprint can solve this issue
51 Applications on Automotive https://www.youtube.com/watch?v=-PWbpZSBIGA Car locker Car engine start https://www.youtube.com/watch?v=xVXPpFpPWyU • Use fingerprint to unlock Car or start engine are safer than current practice, without car owner’s fingerprint, door unable to unlock and engine unable to start.
52 Applications on Security -- Locker, Which one your want? https://www.youtube.com/watch?v=b mkrLvTJj1M Door locker with Finger print sensor Traditional door locker People willing to change traditional locker to fingerprint one, there are some benefits: 1. No need bring key 2. More safer than traditional locker
53 https://www.youtube.com/watch?v=qVfddmIj_zU USB storage with Finger print locker Applications on Security -- Data storage, Which one your want? • Data storage with fingerprint function is more safer for critical data storage. Especially for individual privacy high confidential information
54 Applications on sports and exercise -- Simulators HealthcareSport simulator Detect grip pattern: 1. Sportsman 2. Patients
55 Technology Overview Applications HardwareSoftware Cost Analysis Entrepreneur Opportunity Recommendation SystemFinger Print Technology
56 Entrepreneur Opportunity Payment $$$ Public Transport Convenient Stores Vending Machines Computers
57 Entrepreneur Opportunity Gyms Defence Banks Airports Data storage Homes/ offices Automobiles
58 Entrepreneur Opportunity Sports Newborn babies Healthcare group
59 Recommendation • Protect information • Passwords not reliable - easy to forget • Fingerprints used for centuries • Fingerprints are unique - can verify • Accurate • Many applications were developed • Lot of business opportunities
Thank you
References • http://info-tech.com.sg/fingerprint- readers.htm?gclid=CJ230sCexMsCFdGKaAod7HMKzQ • http://www.entrepreneur.com/article/168946 • http://airccj.org/CSCP/vol3/csit3504.pdf

More Related Content

PPT
Face recognition ppt
Santosh Kumar
 
PPTX
Transformers In Vision From Zero to Hero (DLI).pptx
Deep Learning Italia
 
PPT
Advanced Metering Infrastructure (AMI)
Naveena Navi
 
PPTX
Transformers in Vision: From Zero to Hero
Bill Liu
 
PPTX
Types of plagiarism
gopinathannsriramachandraeduin
 
PDF
Hardware Trojans
Rahul Krishnamurthy
 
PPTX
Smart metering-system
NIT MEGHALAYA
 
PDF
CRIME SCENE MANAGEMENT COMPILED
Amb Steve Mbugua
 
Face recognition ppt
Santosh Kumar
 
Transformers In Vision From Zero to Hero (DLI).pptx
Deep Learning Italia
 
Advanced Metering Infrastructure (AMI)
Naveena Navi
 
Transformers in Vision: From Zero to Hero
Bill Liu
 
Types of plagiarism
gopinathannsriramachandraeduin
 
Hardware Trojans
Rahul Krishnamurthy
 
Smart metering-system
NIT MEGHALAYA
 
CRIME SCENE MANAGEMENT COMPILED
Amb Steve Mbugua
 

What's hot (20)

PPT
Fingerprint recognition
ranjit banshpal
 
PPTX
Biometric Authentication PPT
OECLIB Odisha Electronics Control Library
 
PPTX
Fingerprint Biometrics
Rudra Prasad Maiti
 
PPTX
Finger Print Sensor
Abhishek Kumar
 
PPTX
Biometrics
shweta-sharma99
 
PPTX
Fingerprint scanner
Ausaf khan
 
PDF
Iris recognition system
Nilu Desai
 
PPTX
Biometrics Technology In the 21st Century
Star Link Communication Pvt Ltd
 
PPTX
Biometrics iris recognition
sunjaysahu
 
PPTX
Fingerprint recognition presentation
Vivek Kumar
 
PPT
Bio-metrics Authentication Technique
Rekha Yadav
 
PPTX
Atm using fingerprint
AnIsh Kumar
 
PPTX
Finger print ATM
Ankan Biswas
 
PPTX
Biometric security system
Mithun Paul
 
PPTX
BIOMETRIC IDENTIFICATION IN ATM’S PPT
sravya raju
 
PPSX
Face recognition technology - BEST PPT
Siddharth Modi
 
PPTX
Biometrics
Bhupeshkumar Nanhe
 
PPTX
Biometrics
umertariq12345
 
PPTX
Iris scanning
himansupaichha
 
PPTX
biometrics
Akhil Kumar
 
Fingerprint recognition
ranjit banshpal
 
Biometric Authentication PPT
OECLIB Odisha Electronics Control Library
 
Fingerprint Biometrics
Rudra Prasad Maiti
 
Finger Print Sensor
Abhishek Kumar
 
Biometrics
shweta-sharma99
 
Fingerprint scanner
Ausaf khan
 
Iris recognition system
Nilu Desai
 
Biometrics Technology In the 21st Century
Star Link Communication Pvt Ltd
 
Biometrics iris recognition
sunjaysahu
 
Fingerprint recognition presentation
Vivek Kumar
 
Bio-metrics Authentication Technique
Rekha Yadav
 
Atm using fingerprint
AnIsh Kumar
 
Finger print ATM
Ankan Biswas
 
Biometric security system
Mithun Paul
 
BIOMETRIC IDENTIFICATION IN ATM’S PPT
sravya raju
 
Face recognition technology - BEST PPT
Siddharth Modi
 
Biometrics
Bhupeshkumar Nanhe
 
Biometrics
umertariq12345
 
Iris scanning
himansupaichha
 
biometrics
Akhil Kumar
 
Ad

Viewers also liked (11)

PPTX
Teleportation
Poornima institute of engineering and technology
 
PPTX
Perimeter security systems
Roundabout Technologies
 
PPTX
Quantum teleportation
Biswajit Pratihari
 
PPT
3d password ppt
Gowsalyasri
 
DOCX
Abstract chameleon chip
Anugrah James
 
PPTX
Quantum teleportation.ppt
nastrika
 
PDF
4D_Presentation
Giles Denny
 
PPT
chameleon chip
Sucharita Bohidar
 
PPTX
3d password ppt
manisha0902
 
PPTX
Brain Fingerprinting PPT
Vishnu Mysterio
 
PPTX
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
Carol Smith
 
Teleportation
Poornima institute of engineering and technology
 
Perimeter security systems
Roundabout Technologies
 
Quantum teleportation
Biswajit Pratihari
 
3d password ppt
Gowsalyasri
 
Abstract chameleon chip
Anugrah James
 
Quantum teleportation.ppt
nastrika
 
4D_Presentation
Giles Denny
 
chameleon chip
Sucharita Bohidar
 
3d password ppt
manisha0902
 
Brain Fingerprinting PPT
Vishnu Mysterio
 
AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017
Carol Smith
 
Ad

Similar to Biometrics/fingerprint sensors (20)

PPTX
Biometric security using cryptography
Sampat Patnaik
 
PDF
BIOMETRICS AUTHENTICATION TECHNIQUE FOR INTRUSION DETECTION SYSTEMS USING FIN...
IJCSEIT Journal
 
PPTX
Biometric Systems and Security
Shreyans Jain
 
PPTX
Biometrics
Jeevjyot Singh Chhabda
 
PPS
Ranjith_Bm
branjith
 
PPTX
Biometrics
Priyanka Sharma
 
PPTX
project ppt.pptx
BhavanaKs10
 
PPTX
Fingerprint Authentication Using Biometric And Aadhar Card Fingerprint
SonuSawant
 
PPTX
iris ppt for machine laernig and voting.pptx
MSR PROJECTS
 
PPTX
Embedded system
amitkumarjoshi11
 
PPT
Touch less-fingerprint-recognition-system (1)
Palak Pandoh
 
PPTX
Biometrics 2.pptx
Mayank Raiborde
 
PDF
IRJET- Human Identification using Major and Minor Finger Knuckle Pattern
IRJET Journal
 
PDF
IRJET - Human Identification using Major and Minor Finger Knuckle Pattern
IRJET Journal
 
PPTX
AI Approach for Iris Biometric Recognition Using a Median Filter
NIDHI SHARMA
 
PDF
Security Issues Related to Biometrics
YogeshIJTSRD
 
PDF
It's about biometric system L10A_Savvides_Biometrics.pdf
preethi3173
 
PDF
“Enhancing Iris Scanning Using Visual Cryptography”
iosrjce
 
PDF
I017335457
IOSR Journals
 
PPT
Envisioning the future using iris scanning biometrics
rtambe171
 
Biometric security using cryptography
Sampat Patnaik
 
BIOMETRICS AUTHENTICATION TECHNIQUE FOR INTRUSION DETECTION SYSTEMS USING FIN...
IJCSEIT Journal
 
Biometric Systems and Security
Shreyans Jain
 
Biometrics
Jeevjyot Singh Chhabda
 
Ranjith_Bm
branjith
 
Biometrics
Priyanka Sharma
 
project ppt.pptx
BhavanaKs10
 
Fingerprint Authentication Using Biometric And Aadhar Card Fingerprint
SonuSawant
 
iris ppt for machine laernig and voting.pptx
MSR PROJECTS
 
Embedded system
amitkumarjoshi11
 
Touch less-fingerprint-recognition-system (1)
Palak Pandoh
 
Biometrics 2.pptx
Mayank Raiborde
 
IRJET- Human Identification using Major and Minor Finger Knuckle Pattern
IRJET Journal
 
IRJET - Human Identification using Major and Minor Finger Knuckle Pattern
IRJET Journal
 
AI Approach for Iris Biometric Recognition Using a Median Filter
NIDHI SHARMA
 
Security Issues Related to Biometrics
YogeshIJTSRD
 
It's about biometric system L10A_Savvides_Biometrics.pdf
preethi3173
 
“Enhancing Iris Scanning Using Visual Cryptography”
iosrjce
 
I017335457
IOSR Journals
 
Envisioning the future using iris scanning biometrics
rtambe171
 

More from Jeffrey Funk (20)

PDF
Making GenAI Work: A structured approach to implementation
Jeffrey Funk
 
PDF
The "Unproductive Bubble:" Unprofitable startups, small markets for new digit...
Jeffrey Funk
 
PDF
Commercialization of Science: What has changed and what can be done to revit...
Jeffrey Funk
 
PDF
2000, 2008, 2022: It is hard to avoid the parallels How Big Will the 2022 S...
Jeffrey Funk
 
PDF
The Slow Growth of AI: The State of AI and Its Applications
Jeffrey Funk
 
PDF
Behind the Slow Growth of AI: Failed Moonshots, Unprofitable Startups, Error...
Jeffrey Funk
 
PDF
The Troubled Future of Startups and Innovation: Webinar for London Futurists
Jeffrey Funk
 
PDF
Where are the Next Googles and Amazons? They should be here by now
Jeffrey Funk
 
PDF
What's behind technological hype
Jeffrey Funk
 
PDF
Irrational Exuberance: A Tech Crash is Coming
Jeffrey Funk
 
PDF
Ride Sharing, Congestion, and the Need for Real Sharing
Jeffrey Funk
 
PDF
End of Science
Jeffrey Funk
 
PDF
Importance of Science, by Industry
Jeffrey Funk
 
PDF
beyond patents:scholars of innovation use patenting as an indicator of innova...
Jeffrey Funk
 
PDF
Lighting, Lasers, and Their Econoimcs
Jeffrey Funk
 
PDF
Putting Context Back Into Learning
Jeffrey Funk
 
PDF
Technology Change, Creative Destruction, and Economic Feasibilty
Jeffrey Funk
 
PDF
AI and Future of Professions
Jeffrey Funk
 
PDF
Solow's Computer Paradox and the Impact of AI
Jeffrey Funk
 
PDF
What does innovation today tell us about tomorrow?
Jeffrey Funk
 
Making GenAI Work: A structured approach to implementation
Jeffrey Funk
 
The "Unproductive Bubble:" Unprofitable startups, small markets for new digit...
Jeffrey Funk
 
Commercialization of Science: What has changed and what can be done to revit...
Jeffrey Funk
 
2000, 2008, 2022: It is hard to avoid the parallels How Big Will the 2022 S...
Jeffrey Funk
 
The Slow Growth of AI: The State of AI and Its Applications
Jeffrey Funk
 
Behind the Slow Growth of AI: Failed Moonshots, Unprofitable Startups, Error...
Jeffrey Funk
 
The Troubled Future of Startups and Innovation: Webinar for London Futurists
Jeffrey Funk
 
Where are the Next Googles and Amazons? They should be here by now
Jeffrey Funk
 
What's behind technological hype
Jeffrey Funk
 
Irrational Exuberance: A Tech Crash is Coming
Jeffrey Funk
 
Ride Sharing, Congestion, and the Need for Real Sharing
Jeffrey Funk
 
End of Science
Jeffrey Funk
 
Importance of Science, by Industry
Jeffrey Funk
 
beyond patents:scholars of innovation use patenting as an indicator of innova...
Jeffrey Funk
 
Lighting, Lasers, and Their Econoimcs
Jeffrey Funk
 
Putting Context Back Into Learning
Jeffrey Funk
 
Technology Change, Creative Destruction, and Economic Feasibilty
Jeffrey Funk
 
AI and Future of Professions
Jeffrey Funk
 
Solow's Computer Paradox and the Impact of AI
Jeffrey Funk
 
What does innovation today tell us about tomorrow?
Jeffrey Funk
 

Recently uploaded (20)

PPTX
Principles of Marketing, Industrial, Consumers,
efranciscaantoinette
 
PDF
Elevate Cleaning Efficiency Using Tallfly Hair Remover Roller Factory Expertise
farsookmon97766765
 
PDF
How to Get Funding for Your Trucking Business
Jake Thornhill
 
PDF
COST SHEET- Tender and Quotation unit 2.pdf
MANJU N
 
PPTX
job Avenue by vinith.pptxvnbvnvnvbnvbnbmnbmbh
kaniece
 
PDF
Unit 1 Cost Accounting - Cost sheet
MANJU N
 
PPTX
ICG2025_ICG 6th steering committee 30-8-24.pptx
AtiarRahaman5
 
PDF
20250805_A. Stotz All Weather Strategy - Performance review July 2025.pdf
FINNOMENAMarketing
 
PDF
Laughter Yoga Basic Learning Workshop Manual
yeechensee
 
PPTX
Lecture (1)-Introduction.pptx business communication
HamzaGhani10
 
PPTX
New Microsoft PowerPoint Presentation - Copy.pptx
itsmesumedh96
 
DOCX
unit 2 cost accounting- Tender and Quotation & Reconciliation Statement
MANJU N
 
PPT
340036916-American-Literature-Literary-Period-Overview.ppt
carinaherdiles611
 
PDF
IFRS Notes in your pocket for study all the time
jjj81507
 
PDF
kom-180-proposal-for-a-directive-amending-directive-2014-45-eu-and-directive-...
nlusch08
 
PPTX
Amazon (Business Studies) management studies
AbhirupVerma
 
PDF
A Brief Introduction About Julia Allison
Julia Allison
 
PDF
Power and position in leadershipDOC-20250808-WA0011..pdf
meghavinikumar2006
 
PDF
Roadmap Map-digital Banking feature MB,IB,AB
Alemayehu
 
PPTX
The Marketing Journey - Tracey Phillips - Marketing Matters 7-2025.pptx
shannonzipoy2
 
Principles of Marketing, Industrial, Consumers,
efranciscaantoinette
 
Elevate Cleaning Efficiency Using Tallfly Hair Remover Roller Factory Expertise
farsookmon97766765
 
How to Get Funding for Your Trucking Business
Jake Thornhill
 
COST SHEET- Tender and Quotation unit 2.pdf
MANJU N
 
job Avenue by vinith.pptxvnbvnvnvbnvbnbmnbmbh
kaniece
 
Unit 1 Cost Accounting - Cost sheet
MANJU N
 
ICG2025_ICG 6th steering committee 30-8-24.pptx
AtiarRahaman5
 
20250805_A. Stotz All Weather Strategy - Performance review July 2025.pdf
FINNOMENAMarketing
 
Laughter Yoga Basic Learning Workshop Manual
yeechensee
 
Lecture (1)-Introduction.pptx business communication
HamzaGhani10
 
New Microsoft PowerPoint Presentation - Copy.pptx
itsmesumedh96
 
unit 2 cost accounting- Tender and Quotation & Reconciliation Statement
MANJU N
 
340036916-American-Literature-Literary-Period-Overview.ppt
carinaherdiles611
 
IFRS Notes in your pocket for study all the time
jjj81507
 
kom-180-proposal-for-a-directive-amending-directive-2014-45-eu-and-directive-...
nlusch08
 
Amazon (Business Studies) management studies
AbhirupVerma
 
A Brief Introduction About Julia Allison
Julia Allison
 
Power and position in leadershipDOC-20250808-WA0011..pdf
meghavinikumar2006
 
Roadmap Map-digital Banking feature MB,IB,AB
Alemayehu
 
The Marketing Journey - Tracey Phillips - Marketing Matters 7-2025.pptx
shannonzipoy2
 

Biometrics/fingerprint sensors

  • 1. Biometric Technology -- Finger Print Business Opportunity Team Members: YANG QIAN A0147178W LIM KIM CHYE A0147179U QUEK YONG GUAN A0147276X SONG ZHIWEI A0026195E For information on other technologies see http://www.slideshare.net/Funk98/presentations
  • 3. 3 • A biometric identification system provides an automated method of recognizing an individual based on their unique physiological characteristics  Metrics related to human characteristics  These metrics are Distinctive and Measurable (label and describe individuals) What is Biometric?
  • 4. 4 Why Biometric? • Traditional, security is by what we: –Know (PIN, Password) –Have (Key, smart card) • Both of these security measures can be hacked, stolen, forgotten, duplicated and have too many. • Modern, security is by we: –Are (Body) • It is not easy to create a copy because its unique and high accuracy.
  • 5. 5 Type of Biometric? 1. Finger print 2. Palm veins 3. DNA 4. Iris recognition 5. Facial recognition 6. Voice recognition 7. Signature recognition 8. Palm print 9. Hand geometry 10.Retina scan 11.Ordure/Scent https://en.wikipedia.org/wiki/Biometrics
  • 6. 6 Comparison Between Biometric Biometric Technology Accuracy Cost Device Required Social Acceptability DNA High High Test Equipment Low Iris recognition High High Camera Medium -Low Retina scan High High Camera Low Facial recognition Medium - Low Medium Camera High Voice recognition Medium Medium Microphone, telephone High Hand geometry Medium - Low Low Scanner High Finger print High Medium Scanner Medium Signature recognition Low Medium Optic pen, touch panel High http://kaitleencrowe.com/2015/01/22/biometric/ • Compared with other Bio Technologies, Finger Print is the best choice
  • 7. Uniqueness Finger Skin Pattern PANKANTI, S., PRABHAKAR, S., AND JAIN, A. K. On the individuality of fingerprints. IEEE Trans. Pattern Anal. Mach. Intell. 24 (August 2002), 1010– 1025. Available from: http://portal.acm.org/citation. cfm?id=605089.605091. 204, 212 • Human finger skin consists of friction ridges with pores. • These ridges are formed in the ninth week of a fetal development life, and remains the same all life long. • A severely injured skin may be reconstructed to the same as before. • Identical twins have different fingerprints and no two people have the same fingerprint. • Every individual’s fingerprint is highly unique and suitable for use as a form of authentication.
  • 8. 8 Fingerprint Security • Deny Intruders – Higher Accuracy computation • 97% will return correct results • Prevent Re-construction of fingerprint data – Image protection • Minutiae is retrieved and template created – Encrypted data – Image destruction • Cannot reconstruct the fingerprint from data • Fake Fingerprints Detection – Ignore Latent Print Residue • Cannot steal from previous user – Detect fake/amputated finger • Sensors detect presences of – Temperature, Pulse, Heartbeat sensors, Blood flow
  • 10. How Fingerprint are acquired? Source: http://360biometrics.com/faq/fingerprint_scanners.php Optical Sensor Ultrasonic with RF Sensor Optical Sensor module Capacitive Sensor Thermal Sensor
  • 11. Optical Fingerprint Sensors Problem: 1. Scratched or dirty touch surface can cause bad image 2. Easily fooled by fake finger 3. Bulky design, only suitable for larger static installation Function: 1. Reflected image of fingerprint captured by camera from the underside of a prism. 2. Image is stored for comparison with database.
  • 14. 14 Fingerprint Sensors Comparison Optical Capacitive Ultrasound Size Relatively big and require camera Can embed into small devices Can embed into small devices Method Image capture RF Field RF Field Cost Middle Low High Accuracy May be affected by dirt or water May be affected by dirt or water Will not be affected by dirt or water Working Current 120 mA 200 mA 6 µA Source: http://yourbusiness.azcentral.com/comparison-fingerprint-scanners-27754.html http://artofcircuits.com/product/optical-fingerprint-sensor-module-fpm10a http://www.techshinobiometrics.com/products/fingerprint-identification-products/fingerprint-oem-modules/ http://www.sonavation.com/ultrasound-biometric-sensor
  • 15. Examples of Commercial Fingerprint Scanners http://perso.telecom-paristech.fr/~chollet/Biblio/Cours/Biomet/fribourg/maltoni_1.pdf *The standard fingerprint image resolution in law enforcement applications is 500 pixels per inch (ppi) Ppi = Dpi
  • 16. 16 3 Levels of Fingerprint classification 1. Loops ,Arches , or Whorls 2. Individual characteristic (Minutiae) http://shs2.westport.k12.ct.us/forensics/04-fingerprints/fingerprints_handout.htm
  • 17. 17 3 Levels of Fingerprint classification 3. Pores and Ridges 1 Pores and Ridges: Fingerprint Matching Using Level 3 Features by Jain, A; Yi Chen; Demirkus, M 2 Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features by Jain, A.K; Yi Chen; Demirkus, M
  • 18. 18 Basic Idea • After these classification, a key is generated by the software algorithm. • After finger print reader read your fingerprint, software will compare with database. http://gizmodo.com/apple-finally-explains-touch-id-security-in-detail-1532298901 Scan and Classify Generate a unique user Key Unlock access
  • 19. 19 Cryptography • There is two keys: Public key Private key (Fingerprint key) • The basic idea is:  Sender encrypts data with his receiver’s public key and send out.  Receiver will use his/her private key to decrypt the data. No one can decrypt without receiver’s private key! http://gizmodo.com/apple-finally-explains-touch-id-security-in-detail-1532298901 Mathematically Linked
  • 20. 20 Software Algorithm • Software Classification • http://shs2.westport.k12.ct.us/forensics/04-fingerprints/fingerprints_handout.htm • http://www.bioelectronix.com/what_is_biometrics.html
  • 21. Fingerprint Matching Software • The most commonly used are: 1. Minutiae matching (commonly used) 2. Pattern matching http://www.biometric-solutions.com/solutions/index.php?story=fingerprint_recognition http://biometrics.mainguet.org/types/fingerprint/fingerprint_algo.htm
  • 22. Advance Minutiae Based Algorithm (AMBA) • Two processes 1. Feature Extractor 2. Matcher http://www.supremasolution.com/
  • 23. AMBA – Feature Extractor • Feature Extractor – Capture Image – Enhance Ridge (Normalization, Local orientation estimation, Local frequency estimation, Region mask estimation and filtering) – Extract Minutiae (Classification) http://http://www.supremasolution.com/ http://www.cse.iitk.ac.in/users/biometrics/pages/finger.htm
  • 24. AMBA - Matcher • Matcher – Used to match fingerprint – Trade-off between speed and performance – Group minutiae and categorize by 12 types • Large number of certain type can result in faster searches http://www.supremasolution.com/
  • 25. Example: Apple ID touch • Secure Enclave - using its microprocessor (A7) to create protection to user’s data • When device is locked: – Data protection keys are wrapped (encapsulated) – Data are not accessible • When device is unlocked by the fingerprint sensor: – Data protection key are unwrapped (decapsulated) – Iphone is unlocked and data is accessible http://gizmodo.com/apple-finally-explains-touch-id- security-in-detail-1532298901
  • 26. How Fingerprint Biometric is used • Enrollment – Storing of fingerprint in database • Verification – Known Identification of person – Compare the person’s fingerprint in database – One to one comparison • Identification –Unknown Identification of person – Search through database for a match – One to many comparison Source: An Introduction to Biometric Recognition, Anil K. Jain, Fellow, IEEE, Arun Ross, Member, IEEE, and Salil Prabhakar, Member, IEEE, January 2004
  • 28. Optical Resolution vs Accuracy http://biolab.korea.ac.kr/pubs/JainFpMatching_IEEEComp10.pdf Jain, Feng, Nandakumar, Anil K. Kain, Jianjiang Fengm Karthik Nandakumar, 2010. Fingerprint Matching. Computer, 0018-9162, 36-44. [a] http://itlaw.wikia.com/wiki/False_non-match_rate [b] http://itlaw.wikia.com/wiki/False_match_rate False Non-Match Rate (FNMR) is the failure of a biometric system to identify a biometric subject or to verify the legitimate claimed identity of a biometric subject. False Match Rate (FMR) is the proportion of the completed biometric non-match comparison trials that result in a false match. [b] False Positive Identification Rate (FPIR) occurs when the system finds a hit for a query fingerprint that is not enrolled in the system. False Negative Identification Rate (FNIR) occurs when it finds no hit or a wrong hit for a query fingerprint enrolled in the system.
  • 29. Image quality vs EER (4 software algorithm) Image quality is important, better image, lower EER Source: Incorporating Image Quality in Multi-algorithm Fingerprint Verification by Julian Fierrez-Aguilar, Yi Chen, Javier Ortega-Garcia, and Anil K. Jain. ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 Campus de Cantoblanco 28049 Madrid, Spain {julian.fierrez, avier.ortega}@uam.es. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48823, USA Equalerrorrate(thelower,thebetter)
  • 30. Low Q Image Vs High Q Image (FRR & FAR) Source: Incorporating Image Quality in Multi-algorithm Fingerprint Verification by Julian Fierrez-Aguilar, Yi Chen, Javier Ortega-Garcia, and Anil K. Jain. ATVS, Escuela Politecnica Superior, Universidad Autonoma de Madrid, Avda. Francisco Tomas y Valiente, 11 Campus de Cantoblanco 28049 Madrid, Spain {julian.fierrez, avier.ortega}@uam.es. Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48823, Ideal Ideal
  • 31. Sensor Duration vs FAR&FRR http://www.neurotechnology.com/fingerprint-scanner-biometrika-fx-2000.html Fingerprint Sensing Techniques, Devices and Applications Rahul Singh kingtiny@cs.cmu.edu 30th April 2003 Test data 1. Database of 100 users (non-experts) 2. Low quality fingerprints Efficiency TASK SPEED_DEFAULT SPEED_FAST Feature extraction 350 ms 260 ms Matching 120 ms 47 ms Identity verification 470 ms 307 ms Accuracy: Time taken SPEED_DEFAULT SPEED_FAST FAR FRR FAR FRR 0.3500 0.0049 (0.49%) 0.0005 (0.05%) 0.0032 (0.32%) 0.0009 (0.09%) 0.3750 0.0025 (0.25%) 0.0010 (0.10%) 0.0014 (0.14%) 0.0014 (0.14%) 0.4000 0.0011 (0.11%) 0.0014 (0.14%) 0.0005 (0.05%) 0.0020 (0.20%) 0.4250 0.0006 (0.06%) 0.0019 (0.19%) 0.0002 (0.02%) 0.0034 (0.34%) 0.4500 0.0004 (0.04%) 0.0026 (0.26%) 0.0000 (0.00%) 0.0049 (0.49%) 0.4750 0.0000 (0.00%) 0.0036 (0.36%) 0.0000 (0.00%) 0.0063 (0.63%) FX2000 Optical Sensor Specification: Resolution: 569 ppi, Image Size: 296 x 570 pixels Device size: 122 x 73 x 61mm False Acceptance rate (FAR) is the probability that the system incorrectly authorizes a non-authorized person, due to incorrectly matching. False Rejection Rate (FRR) is the probability that the system incorrectly rejects access to an authorized person, due to failing to match
  • 32. 32 Microprocessor Improvements • Size reduced, Speed increasing, Power consumption http://www.futuretimeline.net/subject/computers-internet.htm +http://www.singularity.com/charts/page61.html http://www.androidauthority.com/smartphone-hardware-2015-405022/
  • 33. Technology Enabler for Finger-print Authentication in Mobile phone • High-resolution sensors –Capture higher resolution fingerprint data • Micro-Processors –Higher Processor Speed • Storage Capacity –Higher storage in mobile devices • Smaller Form Factor –Can be installed in mobile devices GAFUROV, D., BOURS, P., YANG, B., AND BUSCH, C. Guc100 multi-scanner fingerprint database for inhouse (semi-public) performance and interoperability evaluation. Computational Science and its Applications, International Conference (2010), 303–306. 203, 212
  • 35. 35 Camera Based finger print sensor cost analysis https://en.wikipedia.org/wiki/Touch_ID http://www.imore.com/how-touch-id-works http://biometrics.mainguet.org/types/fingerprint/fingerprint_sensors_manufacture.htm Component Cost: 1. Finger Print sensor 53% 2. Cover glass 10% 3. Processing assembly 18% 4. Metal Rim 12% 5. F-PCB Component 7% Key components: 1. laser-cut sapphire crystal 2. stainless steel detection ring 3. Touch ID CMOS sensor 4. Tactile Switch
  • 36. 36 http://biometrics.mainguet.org/types/fingerprint/fingerprint_sensors_manufacture.htm Key component -- Finger Print Sensor Volume vs ASP • Finger print sensor price drop rapidly with high demanding growth in future
  • 37. 37 https://www.tractica.com/newsroom/press-releases/fingerprint-readers-in-mobile-devices-to-surpass-1-billion-unit-shipments-annually-by-2021/ Finger Print Sensor Market Demand • High demanding forecast for fingerprint sensor, especially in Asian market. Which can reduce fingerprint sensor manufacturing cost
  • 38. 38 Key component -- Display Cover glass demand http://www.ledinside.com/intelligence/2014/6/wearable_devices_to_spur_sapphire_market_demands_in_2015_analyzes_ledinside http://electroiq.com/blog/2015/07/smartphone-and-tablets-still-drive-demand-for-cover-glass-as-industry-looks-to-smart-watches-for-growth/  The major market demand growth is from smart phone cover glass  Display Cover glass demand keep increasing in past 3 years and market demand is keep increasing until 2019
  • 39. 39 Key component -- Sapphire Cost Forecast http://www.i-micronews.com/component/hikashop/product/sapphire-applications-market-2015-from-led-to-consumer-electronic.html • Sapphire is a major material for display cover, especially for hand phone camera cover and finger print sensor cover. The overall price from different manufacturing process is keep going down.
  • 40. Biometric Market Trends – Fingerprint Scanners 40Source: http://www.bloomberg.com/news/articles/2013-08-22/apple-iphone-rumor-boosts-biometrics-companies
  • 41. Patents - Fingerprint Sensing 41 Fingerprint Sensors Patent Landscape New strong IP enthusiasm and new players such as Apple are leaving their imprint on the market Publication Jan. 2015
  • 43. Consumer Acceptance to Fingerprint Authentication • A Survey was conducted in 2010 on 278 Students on their acceptance level to use fingerprint for authentication – 58% of respondents had used fingerprint for authentication (Notebook, facility access, etc.). – Feedback on the likely services that they would use fingerprint authentication Biometrictechnologyinretailing:Willconsumersaccept fingerprintauthentication? Richard Clodfelter Department ofRetailing,TheCollegeofHospitality,Retail,&SportManagement,UniversityofSouthCarolina,SC29208Columbia,UnitedStates
  • 44. 44 Summary of Fingerprint Applications -- Changing Lifestyle • People are willing to use fingerprint technology instead of traditional way in daily life, this is because fingerprint technology is reliable and convenient. • Lifestyle is changing with fingerprint technology widespread used and hand phone is a major base of this technology.
  • 45. Without fingerprint With fingerprint Mobile Phone based Applications -- Unlock hand phone • Since security concern, Apple and some other companies change hand phone password from 4 number to 6 number which means users need longer time to unlock their hand phone. • Unlock your phone with fingerprint to save time. Hand Phone can be unlock while you press home bottom • Hand phone integrate reliable technology -- fingerprint function is a key to open the door of new lifestyle.
  • 46. Mobile Phone based Applications -- Fingerprint technology in Banking Bank Branch Bank Mobile APP • People save time and easily to manage their bank account by hand phone • Banks can reduce No. of branches which means lower cost for banks.
  • 47. 47 https://www.linkedin.com/pulse/biometrics-banking- hussain- Mobile Phone based Applications -- Fingerprint Technology in Banking • Compared with other Biometrics technologies, fingerprint technology widely used in banking • Asian and US are largest market in fingerprint banking.
  • 48. 48 Mobile Phone based Applications -- Mobile Bill Payment AXS machine AXS online • Without fingerprint, people don’t want to pay bill by mobile phone, although some App have function of bill payment, people are not willing to save credit card info in those App. They have big concern on safety! • With Fingerprint, people can pay bill by Mobile phone without safety concern.
  • 49. 49 Mobile Phone based Applications -- Mobile Manage Stock Buy/Sell at Stock market Buy/Sell on Handphone • More easier to manage your Stock account by hand phone. Fingerprint replace password, Safer than password based online Stock.
  • 50. Mobile Phone based Applications -- Online Shopping Traditional shopping Online shopping • Same concern on online shopping, people are not willing to purchase stuff from online store. • Fingerprint can solve this issue
  • 51. 51 Applications on Automotive https://www.youtube.com/watch?v=-PWbpZSBIGA Car locker Car engine start https://www.youtube.com/watch?v=xVXPpFpPWyU • Use fingerprint to unlock Car or start engine are safer than current practice, without car owner’s fingerprint, door unable to unlock and engine unable to start.
  • 52. 52 Applications on Security -- Locker, Which one your want? https://www.youtube.com/watch?v=b mkrLvTJj1M Door locker with Finger print sensor Traditional door locker People willing to change traditional locker to fingerprint one, there are some benefits: 1. No need bring key 2. More safer than traditional locker
  • 53. 53 https://www.youtube.com/watch?v=qVfddmIj_zU USB storage with Finger print locker Applications on Security -- Data storage, Which one your want? • Data storage with fingerprint function is more safer for critical data storage. Especially for individual privacy high confidential information
  • 54. 54 Applications on sports and exercise -- Simulators HealthcareSport simulator Detect grip pattern: 1. Sportsman 2. Patients
  • 56. 56 Entrepreneur Opportunity Payment $$$ Public Transport Convenient Stores Vending Machines Computers
  • 59. 59 Recommendation • Protect information • Passwords not reliable - easy to forget • Fingerprints used for centuries • Fingerprints are unique - can verify • Accurate • Many applications were developed • Lot of business opportunities