Overview on Biometrics by Ch.Ravikumar & Priya N
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The document discusses biometrics, which uses physiological or behavioral human characteristics to identify individuals. It defines biometrics and describes a generic biometric system involving enrollment, sensors, feature extraction, and matching. The document outlines several types of biometrics including face recognition, fingerprints, hand geometry, iris/retina scans, DNA, keystrokes, and voice. It also discusses vulnerabilities in biometric systems such as spoofing attacks, template database leaks, and intrinsic limitations like false matches. The document proposes security approaches like feature transformations and cryptosystems to enhance biometric security.
Overview on Biometrics by Ch.Ravikumar & Priya N
- 1. Topic: BIOMETRICS Presented By:- Ch Ravikumar T.E.ENTC Priya N T.E.ENTC
- 2. Contents 1.Defination 2.Generic Biometric System 3.Types of biometrics 4.Biometric System Vulnerabilities 5.Security Approaches
- 3. Biometrics It is a physiological or behavioral characteristic of a human being that can distinguish one person from another and that theoretically can be used for identification or verification of identity. Who are you? Prove it.
- 4. Generic Biometric System Enrollment Biometrics Sensor Identification Biometrics Sensor Template Database Feature Extractor Feature Extractor Feature Matcher
- 6. Face Recognition A face image can be acquired using a normal, off-the-shelf camera Easy to accept by the public Cost is rather low
- 7. Finger Printing Used in forensics more than 100 years Optical, capacitive readers Liveness detection
- 9. Hand Geometry Captured using a CCD camera, or LED Orthographic Scanning The system is often bulky
- 10. Eyes:Iris,Retina Extracts features from the colored tissue surrounding the pupil. Monochrome camera with visible and near infra red light Liveness detection
- 11. DNA Deoxyribonucliec Acid Contains Genetic information Differentiated using base pairs
- 12. Keystrokes No special hardware Required Transparent capture
- 13. Voice Speaker recognition uses a microphone to record the voice Your voice can vary with age, illness and emotions Interesting with the increasing use of mobile phones
- 14. Biometric System Vulnerabilities Biometric System Vulnerabilities Adversary Attacks Spoofing Template database leakage Intrinsic Limitations
- 15. Intrinsic Limitations False Non- Match False match Zero effort attack
- 16. Adversary Attacks Caused due to negligence of authorized persons An adversary exploiting the system security using insiders Direct attack on the sensors
- 17. Spoof Attacks
- 18. Template Database leakage Biometric template information becomes available to an adversary Easier to recover by using reverse engineering
- 19. Security Approaches Biometric Feature Transformations Cryptosystems
- 20. FUTURE METHODS Face recognition through blood vessels
- 21. FUTURE METHODS Brainwave recognition
- 22. Any Questions