ppt on how biometrics works and their function in simple steps

2. Group Member’s :
1) SIDDHARTH SINGH
2) CHANDAN SONI
3) SOHAIL SHAIKH

3. PRESENTATION OUTLINES
• DEFINITION OF BIOMETRICS
• MAIN TYPES OF AUTHENTICATION
• CHARACTERISTICS OF BIOMETRICS
• BIOMETRICS RECOGNITION
TECHNIQUES
• APPLICATIONS
• CONCLUSION

4. BIOMETRIC
SECURITY
“Biometrics is the
identification or
verification of human
identity through the
measurement of
repeatable
physiological and
behavioral
characteristics”.

5. Three main types of
authentication are :
• Something you have.
• Something you know.
• Something you are.

6. Characteristics
of Biometrics :
• Universality
• Uniqueness
• Permanence
• Collectibility
• Performance
• Acceptability

7. Biometric Recognition
Technique :
• Physiological
• Fingerprint
• Facial Recognition
• Hand Geometry
• Iris scan
• Retina Scan
• Behavioral
• Speaker / Voice
Recognition
• Signature /
Handwriting
• Keystroke /
Patterning

8. PHYSIOLOGICAL
RECOGNITION
• Fingerprint
• Facial Recognition
• Hand Geometry
• Iris scan
• Retina Scan

9. Fingerprint Recognition
• A live acquisition of a
person’ fingerprints
• Dots
• Spurs
• Bridges

10. Facial Recognition
• 1) Capture Image.
• 2) Find face in image.
• 3) Extract features.
• (Store templates)
• 4) Compare templates.
• 5) Declare matches.

11. Hand Geometry :
Hand or finger geometry is an
automated measurement of many
dimensions of the hand and fingers.

12. Iris Recognition
• The iris is the coloured
ring of textured tissue
that surrounds the
pupil of the eye.
• The iris patterns are
obtained through a
video-based image
acquisition system.

13. Retina Recognition :
Images back
of the eye
and
compares
blood vessels
with existing
data.

14. BEHAVIORAL
RECOGNITION
• Speaker / Voice Recognition
• Signature / Handwriting
• Keystroke / Patterning

15. Speaker / Voice Recognition
• Voice or speaker recognition uses
vocal characteristics to identify
individuals using a pass-phrase.
• Identification using the acoustic
features of speech that have been
found to differ between individuals.

16. Signature Recognition
An automated
method of
measuring an
individual’s
signature.

17. Keystroke Dynamics
Keystroke
dynamics is an
automated
method of
examining an
individual’s
keystroke’s on a
keyboard.

18. APPLICATIONS

19. CONCLUSION
• Decreasing costs and
increasing convenience.
• Increasing both privacy and
identity security.
• The field of biometric is
evolving.
• Possibly in the future, You will
not have to remember pin’s
and passwords and keys in
your bags and pocket will be