Biometric's final ppt
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The document defines biometrics as the automatic identification of a person based on physiological or behavioral characteristics. It lists different biometric characteristics including fingerprint, facial recognition, hand geometry, iris scan, and retina scan. It then describes several biometric recognition techniques such as fingerprint recognition, facial recognition, hand geometry, iris recognition, and retina recognition. Finally, it discusses applications of biometrics such as preventing unauthorized access, criminal identification, and improving security in areas like ATMs, cellphones, computers, automobiles, and airports.
Biometric's final ppt
- 2. Vidur pandey Vidita vanage Vinay patel Vaibhav mehta
- 3. Presentation Outlines Definiton of biometrics Terms of biometrics Biometrics characteristics Biometrics recognition techniques Applications conclusion
- 4. Biometrics refers to the automatic identification of a person based on his or her physiological or behavioral characteristics . DEFINITION OF BIOMETRICS
- 5. BIOMETRIC TERMS Recognition Identification verification
- 6. Biometric characteristics 1) Physiological 2) Behavioral
- 7. Physical biometrics Fingerprint Facial recognition/face location Hand geometry Iris scan Retina scan
- 8. Fingerprint recognition A live acquisition of a person’s fingerprint. Dots (very small ridges), Space between two temporarily divergent ridges), Spurs (a notch protruding from a ridge), Bridges (small ridges joining two longer adjacent ridges), crossovers (two ridges that cross each other).
- 9. Facial Recognition Capture image 2. Find face in image 3. Extract features (store template) 4. Compare templates 5. Declare matches
- 10. Hand or finger geometry is an automated measurement of many dimensions of the hand and fingers. Hand Geometry
- 11. Iris recognition Iris scanning measures the iris pattern in the colored part of the eye,
- 12. Retina recognition Images back of the eye and compares blood vessels with existing data
- 13. Behavioral biometrics Speaker/voicerecognition Signature/handwriting Keystroke/patterning
- 14. Speaker / Voice Recognition Voice or speaker recognition uses vocal characteristics to identify individuals using a pass-phrase. A telephone or microphone can serve as a sensor,
- 15. Signature Verification An automated method of measuring an individual’s signature. This technology examines speed,direction, and pressure of writing; the time that the stylus is in and out of contact with the “paper’’.
- 16. Keystroke dynamics Keystroke dynamics is an automated method of examining an individual’s keystrokes on a keyboard. This technology examines such dynamics as speed and pressure, the total time taken to type particular words, and the time elapsed between hitting certain keys.
- 17. Prevent unauthorized access to ATMs, Cellular phones Desktop PCs Criminal identification In automobiles biometrics can replace keys with keyless entry devices Airport security APPLICATIONS
- 18. Conclusion Biometric is an emerging area with many opportunities for growth. Possibly in the near future, you will not have to remember PINs and passwords and keys in your bags or pockets will be things of the past.
Editor's Notes
- #9: http://www.hhsc.state.tx.us/Consolidation/Consl_home.html . www.rediris.es/cert/doc/ unixsec/node14.html