Automated Face Recognition System for Office Door Access Control Application
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This document describes an automated face recognition system for office door access control. It discusses introducing face recognition technology in the 1980s for security applications. The proposed system uses principal component analysis and artificial neural networks to recognize faces. It achieves 80% recognition accuracy between 40-60cm from the camera when the head is within 20 degrees left or right. The system involves training and evaluation stages, extracting features from faces during training and recognizing new faces during evaluation using the stored database. Graphical and neural network components are used to capture, crop, and recognize faces in real-time. Potential applications include security at ATMs, cameras, and public surveillance systems.
Automated Face Recognition System for Office Door Access Control Application
- 1. DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATION ENGINEERING (2015-2016) TAE- 3 Literature review PowerPoint Presentation Application of Control System Subject: Control System “Automated Face Recognition System for Office Door Access Control Application ” Year/Semester: 3rd Year | 6th Sem | Section: ‘C’ Submitted By: Adarsh Pisey (24) Akash J. Shahu(26) Amol M. Wagh (27) Ashish M. Pandey (30) Submitted To: Prof. Swapna Choudhari, G.H.R.C.E., Nagpur.
- 2. INTRODUCTION • The Security currently become a very important issue in public or private institutions. • A Various security System have been proposed and developed for some crucial process: Person Identification. Person Verification. Person Recognition. Face Recognitions.
- 3. INTRODUCTION • Face recognitions have been an active area of research with numerous application since late 1980s and become one of the important elements in security development system. • An automatics Face recognition system with the potential application for office door access control technique is based on the (PCA) Principle Component Analysis and Artificial neural network have been applied into system.
- 4. DESCRIPTION • In Detail Study of Face Recognition system purposely built for office door access control includes the analysis of influences of three main factors: Illumination. Distance. Head orientation. • The System is been achieved good performance of face recognition rate of 80% at the distance of camera and subject between 40 cm to 60 cm and subject’s orientation head angle must be within the range of 20% to +20 degree.
- 6. Methodology and System Development • The development of this automated face recognition system is done In typical face recognition in two Stages. 1. Training Stages. 2. Evaluation Stages.
- 7. Training stages and Evaluation Stages • In Training Stage, the specific number of training images of face candidate is captured. • The feature are extracted from the intensity image of human frontal faces using principle component analysis. • The System will then learn on the extracted feature and store them in its database. • In the Evaluation Stage the system will recognize new faces in an unsupervised manner and that is easy to implement using artificial neural network.
- 8. Methodology and System Development • The Face recognisation is based on two type of face database that is Graphical User Interface and Artificial Neural Network. • Graphical User Interface: It Captured and Cropped Face image of person to be recognize. • Artificial Neural Network: It consist the ad- hoc face frontal images that are captured instantly using the system’s camera.
- 9. Application • Security measure at ATM’s • Digital Cameras • Public Surveillance (CCTV’s) at Airports, Hospitals, etc. • Person Identification. • Person Verification. • Person Recognition.
- 10. Reference • Ratnawati Ibrahim, Malaysia (IEEE Research Paper). • Zalhan Mohd Zin, Malaysia. (IEEE Research Paper). THANK YOU