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Finger-Print Biometrics

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					BIOMETRICS
             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

 Pattern   recognition system

         physiological or behavioral
 Specific
 characteristics
                WHY USE IT?

           methods involving passwords
 Traditional
 and PIN numbers

 Biometrics    highest level of security
    CHARACTERISTICS USED

•   Fingerprints
•   Voiceprints
•   Facial features
•   Writing patterns
•   Iris patterns
•   Hand geometry
        BIOMETRIC SYSTEM

   Data Collection
   Transmission
   Signal Processing
   Data Storage
   Decision
BIOMETRIC SYSTEM
              HOW IT WORKS


   The hardware captures the salient human
    characteristic

   The software interprets the resulting data and
    determines acceptability.
             FINGER PRINT
 Oldest   form of Biometrics

 Highly   Reliable

 Uses   distinctive features of fingers
FINGER PRINT RECOGNITION


 Global   features

 Local   features
    GLOBAL FEATURES
   Pattern Area

   Core Point

   Delta

   Line types

   Ridge Count

   Ridge Patterns
BASIC RIDGE PATTERNS

   Loop

   Arch

   Whorl
LOOP, ARCH AND WHORL
                     STAGES
   Fingerprint Scanning

   Fingerprint Matching

   Identification
   FINGERPRINT SCANNING


 It’s the acquisition and recognition of a
  person’s fingerprint characteristics for
  identification purposes
            IMAGE CAPTURE
 Optical
 Thermal
 Capacitance
 Ultra   Sound
IMAGE ACQUISITON
MINUTIA MATCHING
BRIDGE CODE
SPUR CODE
PROCESS
PROCESS
FINGERPRINT PC LOCK
FINGERPRINT DOOR LOCK
IRIS RECOGINITION
      IRIS RECOGNITION

Pattern recognition technique

Identification by mathematical analysis of
the random patterns.

Based upon the qualities of the Iris
Iris is a protected internal organ whose
random texture is stable throughout life
       IRIS PROPERTIES

High degree of Randomness
No two Iris are alike
Stable in a persons life
Doesn't vary with changes
               IRIS SCAN
 Camera at close proximity

 Captures photograph

 Uses Infra red light to illuminate

 High resolution photograph
IRIS SCAN IMAGE
                 IRIS CODE
 Localization of inner and outer boundaries
 Pattern of 512 bytes
 Complete and Compact description
 More complete than features of DNA
                        IRIS SYTEM
                                              Uniform
                                              distribution          Stored
                                                                   templates



                                                                          Reject
                  Pre            Feature-         Identification
                  processing     extraction       Verification

Iris scan image                                                          Accept
                  Iris           Iris code
capture                                           comparison
                  localization
       IRIS RECOGNITION


 Database  of millions of records
 Iris code generated is compared
 Searching algorithm based on Properties
  of Iris
 Order of a few seconds
AVIATION – IRIS DEVICES
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
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
FINGERPRINT PERFORMANCE
 FAR   - As low as 1 in 1,000,00

 FRR   –around 4%
        IRIS PERFORMANCE
 FAR   - As low as 1 in 1,000,000

 FRR   –around 2%
             APPLICATIONS

 Criminal identification
 Prison security
 ATM
 Aviation security
 Border crossing controls
 Database access
    SOME BIOMETRICS STILL IN
        DEVELOPMENT
   Scent

   Ear Shape

   Finger nail bed

   Facial 3D
          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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posted:10/4/2011
language:English
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