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Biometric slideshare

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This is on behalf of Manish Kumar

This is on behalf of Manish Kumar

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Transcript

  • 1.                                                                                                                                                  
  • 2. PRESENTATION ON Enhancing security with BIOMETRICS MANISH KUMAR
  • 3. WHAT IS BIOMETRIC BIOMETRIC IS AUTOMATED METHODS TO IDENTIFY A PERSON ON BASIS OF PHYSICAL AND BEHAVIORAL CHARACTERSTICS
  • 4. PHASES OF BOMETRIC AUTHENTICATION SYSTEM CAPTURE EXTRACTION COMPARISON MATCH/NOMATCH
  • 5. FINGERPRINT RECOGNITION
    • OLDEST METHOD(SINCE 1896) WIDELY
    • USED FOR CRIMINAL IDENTIFICATION
  • 6. FINGERPRINT FEATURE EXTRACTION
    • 1/3 WHORLS
    • 5-10% ARCHES
    • 2/3 LOOPS
  • 7. FINGERPRINT COMPARISONS (PATTERN MATCHING)
  • 8. FINGERPRINT MATCHING REGISTERED POINTS ARE LOCATED AND COMPARED MINUTIA MATCHING
  • 9. HAND GEOMETRY RECOGNITION TEMPLATE
  • 10.  
  • 11. FACIAL ATTRIBUTES
    • AREA AROUND CHEEK BONE
    • UPPER SECTION OF EYE SOCKET
    • SIDES OF MOUTH
    • DISTANCE BETWEEN EYES
  • 12. NEGATIVE MATCH (12%)
  • 13. 96% MATCH POSITIVE IDENTIFICATION
  • 14. FACE TRACKING
  • 15. VOICE RECOGNITION FORMANTS
    • SEGMENT COMPOSED OF DOMINANT FREQUENCIES DIGITALIZING A PROFILE OF A PERSON’S SPEECH
    • FREQUENCIES ARE FORMANTS
  • 16. EXAMPLE OF VOICE PRINT
  • 17. CHARACTERSTICS OF MESH SUCH AS STRIATIONS, CRYPTS,RINGS & FURROWS GIVES UNIQUE PATTERN TO IRIS IRIS RECOGNITION
  • 18. IRIS PATTERN A LIFE LONG PASSWORD
    • TABECULAR MESHWORK-UNMIMICABLE
    • 266 UNIQUE PATTERNS
    • ERR=1 IN 1.2 BILLION
  • 19. MONOCHROME CAMERA CAPTURES CHARACTERISTICS OF IRIS IN PRESENCE OF NEAR INFRARED LIGHT PROCESS OF IRIS RECOGNITION
  • 20. PROCESS OF IRIS RECOGNITION
  • 21. Emerging  biometrics
    • Vein scan
    • Facial Thermography
    • Gait recognition
    • Blood Pulse
    • Ear shape Recognition
    • Odour Sensing
  • 22. VEIN PATTERN
  • 23. Vein Pattern
  • 24. GAIT ADVANCES IN EMERGING BIOMETRICS
    • RECOGNITION BY THE WAY SOMEONE WALKS
  • 25. BLOOD PULSE BIOMETRICS
    • INFRARED SENSORS MEASURES BLOOD
    • PULSE ON FINGERS.
  • 26. Odour sensors will identify your body odour
  • 27. Facial Thermograph Detects heat patterns created by the branching of blood vessels and emitted from the skin. Even identical twins have different thermographs
  • 28. CONCLUSION
    • Biometric technologies are becoming the foundation of an extensive array of highly secure identification and personal verification solutions.
    • The promises of e-commerce and e-government can be achieved through the utilization of strong personal authentication procedures.
    • Each biometric technique's performance can vary widely, depending on how it is used and its environment in which it is used.
  • 29.
    • Access control
    • Identification card
    • Immigration checks
    • Police records
    • Customer identification, Loyalty programs
    • Security systems
    • Patient management in hospitals
    • Public welfare programs management
    • Preventing identity theft
    • Membership management in clubs, libraries etc.
    • Enterprise network security
    • Transaction management
    • Banking, ATMs
    •  
    Applications
            • Time Attendance
  • 30. A MULTIMODAL BIOMETRIC SYSTEM USING FINGERPRINT, FACE, AND SPEECH
  • 31. REFERENCES
    • INTERNATIONAL BIOMETRIC GROUP WESITE.( WWW.BIOMETRICGROUP.COM )
    • VISIONICS WEBSITE( WWW.VISIONICS.COM )
    • BIOMETRIC SYSTEMS LAB WEBSITE,BOLOGNA UNIVERSITY
    • FACE RECOGNITION BY L. WISKOTT AND J.M. FELLOUS.