Biometrics (1)
- 2. Overview What is Biometrics? Types of Biometric Recognition. Applications of Biometric Systems. Types of Authentication. Constraints on Biometrics. Biometric Research at Clemson University.
- 3. What is Biometrics? Automated method for recognizing individuals based on measurable biological and behavioral characteristics
- 4. Finger Print Recognition Minutiae Pattern Matching Problems: sometimes unusable
- 5. Vascular Pattern Matching LED infrared light Fingers and back of hand Not completely viable
- 6. Iris Recognition Uses infrared light Converts Images to vectors Needs further development
- 7. Facial Recognition Location and position of facial features Dependent on background and lighting conditions
- 8. Voice Verification Factors: pitch, intensity, quality and duration Text dependent Text independent Problems: include background noise
- 9. Hand Geometry Scan both sides of hand Primarily used for verification Not as accurate as other methods
- 10. Dynamic Signature Factors: velocity, acceleration and speed Mainly used for verification Problems: forgers could reproduce
- 11. Retina Recognition One of the most secure means of biometrics Unique to each person Unique to each eye Problems: require effort on the part of subjects
- 12. Other Types Keystroke DNA
- 13. Commercial Applications Computer login Electronic Payment ATMs Record Protection
- 14. Government Applications Passport control Access Control
- 15. Forensic Applications Missing Persons Corpse identification Criminal investigations
- 16. Type of Authentication Authentication 1:1 Verification 1:N
- 17. Constraints on Biometrics Typical “Constrained” Image Constraints: Lighting Distance Pose Expression Time Lapse Occlusion
- 18. Biometrics Research at Clemson University. Biometric and Pattern Recognition Lab Goals: 1. Usable Biometrics 2. Unconstrained Biometrics
- 19. Biometrics Research at Clemson Aging Research
- 20. Biometrics Research at Clemson Demographics Older vs. Younger Males vs. Females Geographic origin of algorithms
- 21. Biometrics Research at Clemson Periocular Region Recognition Texture, color, eye shape Overcome facial occlusion
- 22. Biometrics Research at Clemson Ear Recognition Not affected by aging or expression Covert collection of images Little research performed