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BIOMETRICS

BIOMETRICS. By Lt Cdr V Pravin 05IT6019. BIOMETRICS. Forget passwords ... Forget pin numbers ... Forget all your security concerns . BIOMETRICS. Introduction General system Finger Print Iris Performance & Application Conclusion. WHAT IS BIOMETRICS ?. Automated method

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BIOMETRICS

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  1. BIOMETRICS By Lt Cdr V Pravin 05IT6019

  2. BIOMETRICS • Forget passwords ... • Forget pin numbers ... • Forget all your security concerns ...

  3. BIOMETRICS • Introduction • General system • Finger Print • Iris • Performance & Application • Conclusion

  4. WHAT IS BIOMETRICS? • Automated method • Pattern recognition system • Specific physiological or behavioral characteristics

  5. WHY USE IT? • Traditional methods involving passwords and PIN numbers • Biometrics highest level of security

  6. CHARACTERISTICS USED • Fingerprints • Voiceprints • Facial features • Writing patterns • Iris patterns • Hand geometry

  7. BIOMETRIC SYSTEM • Data Collection • Transmission • Signal Processing • Data Storage • Decision

  8. BIOMETRIC SYSTEM

  9. HOW IT WORKS • The hardware captures the salient human characteristic • The software interprets the resulting data and determines acceptability.

  10. FINGER PRINT • Oldest form of Biometrics • Highly Reliable • Uses distinctive features of fingers

  11. FINGER PRINT RECOGNITION • Global features • Local features

  12. GLOBAL FEATURES • Pattern Area • Core Point • Delta • Line types • Ridge Count • Ridge Patterns

  13. BASIC RIDGE PATTERNS • Loop • Arch • Whorl

  14. LOOP, ARCH AND WHORL

  15. STAGES • Fingerprint Scanning • Fingerprint Matching • Identification

  16. FINGERPRINT SCANNING • It’s the acquisition and recognition of a person’s fingerprint characteristics for identification purposes

  17. IMAGE CAPTURE • Optical • Thermal • Capacitance • Ultra Sound

  18. IMAGE ACQUISITON

  19. MINUTIA MATCHING

  20. BRIDGE CODE

  21. SPUR CODE

  22. PROCESS

  23. PROCESS

  24. FINGERPRINT PC LOCK

  25. FINGERPRINT DOOR LOCK

  26. IRIS RECOGINITION

  27. IRIS RECOGNITION Pattern recognition technique Identification by mathematical analysis of the random patterns. Based upon the qualities of the Iris

  28. Iris is a protected internal organ whose random texture is stable throughout life

  29. High degree of Randomness No two Iris are alike Stable in a persons life Doesn't vary with changes IRIS PROPERTIES

  30. IRIS SCAN • Camera at close proximity • Captures photograph • Uses Infra red light to illuminate • High resolution photograph

  31. IRIS SCAN IMAGE

  32. IRIS CODE • Localization of inner and outer boundaries • Pattern of 512 bytes • Complete and Compact description • More complete than features of DNA

  33. IRIS SYTEM Uniform distribution Stored templates Reject Pre processing Feature-extraction Identification Verification Accept Iris scan image capture Iris localization Iris code comparison

  34. IRIS RECOGNITION • Database of millions of records • Iris code generated is compared • Searching algorithm based on Properties of Iris • Order of a few seconds

  35. AVIATION – IRIS DEVICES

  36. BIOMETRIC PERFORMANCE FAR The FAR is the chance that someone other than you is granted access to your account. Low false acceptance rate is most important when security is the priority

  37. BIOMETRIC PERFORMANCE FRR The FRR is the probability that are not authenticated to access your account. A low FRR is required when convenience is the important factor

  38. FINGERPRINT PERFORMANCE • FAR - As low as 1 in 1,000,00 • FRR –around 4%

  39. IRIS PERFORMANCE • FAR - As low as 1 in 1,000,000 • FRR –around 2%

  40. APPLICATIONS • Criminal identification • Prison security • ATM • Aviation security • Border crossing controls • Database access

  41. SOME BIOMETRICS STILL IN DEVELOPMENT • Scent • Ear Shape • Finger nail bed • Facial 3D

  42. REFERENCES • www.biometix.com • www.biomet.org • www.owlinvestigation.com • www.ddl.ision.co.uk • www.zdnetindia.com/techzone/resources • www.biodata.com.au

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