In this presentation I just tried to give the basic idea about bio-metric system. And the more important thing is how do we implement it in real world scenario for the security concerns. As we know our day to day life based on passwords and PIN. So it's possible sometimes for human brain to forget the passwords and PIN and moreover there lots chances in which you may got hacked, Isn't it ? So keeping all these things in mind why do we implement bio metric as our security concerns right...!

1. BIOMETRICS
SECURITY
SYSTEM
BY
- SADAN KHAN

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

3. OUTLINE
 Introduction
 General system
 FingerPrint
 Iris
 Performance &
Application
 Conclusion

4. WHAT IS BIOMETRICS
SYSTEM ?
 Automated method
 Pattern recognition system
 Specific physiological or behavioral characterist

5.  Fingerprints
 Facial features
 Iris patterns
 Hand geometry
BIOMETRIC FEATURES

6. BIOMETRIC SYSTEM
 Data Collection
 Data Process
 Data Storage
 Decision
1/2

7. BIOMETRIC
SYSTEM
2/2

8.  The hardware captures the salient
human characteristic.
 The software interprets the resulting
data and determines acceptability.
HOW IT WORKSHOW IT WORKS

9. FINGER PRINT
 Oldest form of Biometrics
 Highly Reliable
 Uses distinctive features of
fingers

10. FINGER PRINT RECOGNITION
Global features
Local features

11.  Pattern Area
 Core Point
 Delta
 Line types
 Ridge Count
 Ridge Patterns
GLOBAL FEATURES

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

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
Pre
processing
Feature-
extraction
Identification
Verification
Stored
templates
Uniform
distribution
Reject
AcceptIris 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 INSOME BIOMETRICS STILL IN
DEVELOPMENTDEVELOPMENT
 ScentScent
 Ear ShapeEar Shape
 Finger nail bedFinger nail bed
 Facial 3DFacial 3D

42. REFERENCE
S
1. www.biometix.com
2. www.biomet.org
3. www.owlinvestigation.com
4. www.ddl.ision.co.uk
5. www.zdnetindia.com/techzone/resources
6. www.biodata.com.au