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Overview on Biometrics by Ch.Ravikumar & Priya N
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.
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Overview on Biometrics by Ch.Ravikumar & Priya N
- 1. Topic: BIOMETRICS PresentedBy:- Ch Ravikumar T.E.ENTC Priya N T.E.ENTC
- 2. Contents 1.Defination 2.GenericBiometric System 3.Types of biometrics 4.Biometric System Vulnerabilities 5.Security Approaches
- 3. Biometrics “Itis 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
- 5.
- 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
- 8.
- 9. Hand Geometry •Capturedusing a CCD camera, or LED •Orthographic Scanning •The system is often bulky
- 10. Eyes:Iris,Retina • Extractsfeatures 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 • Nospecial hardware Required • Transparent capture
- 13. Voice • Speakerrecognition 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.
- 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 Facerecognition through blood vessels
- 21. FUTURE METHODS Brainwaverecognition
- 22.