1. Prepared By :
AKASH DEEP
MAURYA
1351110002

2. Presentation Outlines
 Authentication & Its types
 Biometric & Why use it ?
 Characteristics & Modes
 Working of Biometric System
 Different Techniques
 Comparison b/w Different techniques
 Application of Biometric Authentication
 Limitations
 Conclusion
 References

3. Authentication
 Act of confirming something or giving
privileges to access something.
 Process of giving someone identity-he or she
can access that particular application or data.
 For e.g. : Giving identity-card to a student of
an institute.

4. Types of Authentication
 Passwords, PIN
 Smart card or Swipe card
 Biometric

5. Biometric
“ something that you are ”
 Two Greek words Bio(Life) and Metric(To Measure).
 Measures and Analyzes - biological traits - human being.
 Automated recognition of an individual - behavioral or
physical characteristics.
 Provides privacy to personal data & high security to
confidential, financial transactions.

6. Why Biometric ?
 Identity theft is not possible
 Password remembrance problem does not exist
 Cannot be predicted or hacked
 Cannot be shared
 Perceived as more secure
 Accuracy

7. Characteristics of a Biometric
Recognizing an individual based on two main characteristics :
 Physical characteristics are related to physical shape of the
body. For e.g. Fingerprint, face, hand geometry, iris etc.
 Behavioral characteristics are related to the behavior of a
person. For e.g. Voice pitch, speaking style, typing rhythm,
signature etc.

8. Modes of Biometric System
Identification
 One-to-many comparison.
 It search for a sample against a database of templates.
 It identifies an unknown individual.
 For e.g. Who is “x” ?
Verification
 One-to-one comparison.
 It compares a sample against a single stored template.
 It verifies the individual’s identity.
 For e.g. Is this “x” ?

9. Working process
 Enrollment : In this stage, Information captured-sensing
device-stored in database for later comparison. When someone
uses biometric for the first time then the stage is called
enrollment.
 Authentication : Registered biometric sample during the
enrollment process are matched against newly capturing
biometric sample.

10. Working of Biometric System
Steps :
 Capturing
 Pre-processing
 Feature Extraction
 Template Creation
 Matcher/Comparison
 Application Device

11. Different biometric technique
Fingerprint technology :
 Oldest and most widely used.
 Registered points are located and compared.
 Optical sensors are used for scanning purpose.
 Affects by impression angle, pressure, dirt, moisture etc.
 It can be used for many applications like pc login security,
voting system, attendance system etc.

12. Face Recognition Technology :
 For automatic identification or verification of a person from a
digital image.
 These include the position/size/shape of the eyes, nose,
cheekbones and jaw line.

13. Iris Recognition Technology :
 It measures the iris pattern of the eye i.e. the colored part of
the eye that surrounds the pupil.
 The iris scanner analyzes features like rings, furrows, and
freckles existing in the colored tissue surrounding pupil.
 Iris pattern is not changed over years or by glasses, contact
lenses.

14. Hand Geometry Technology :
 Uses hand images for identification or verification.
 Person identification utilizes hand images to extract a number
of features such as length, width, thickness, finger area etc.
 Measures the digits of the hand and compares to those
collected at the time of enrollment.
 Places hand on the system which takes the three dimensional
image of the hand.

15. Voice Recognition Technology :
 Validate user’s claimed identity using
their voice.
 It uses the pitch, pattern, tone,
frequency, rhythm of speech for
identification purposes.
 A telephone or microphone can act as a
sensor.

16. Comparison between Different
Technique

17. Applications Limitations
 Criminal identification
 Internet Banking
 Attendance system
 Airport, Bank security
 PC login security
 Prevents unauthorized access to
private data.
 Presence of noise in the sensed
data.
 Variations in the enrolled data
i.e. change in age, disease,
environment etc.
 Non-universality
 It is an expensive security
solution.

18. Conclusion
 Security of e-commerce or e-government sites -
Enhanced
 The Greatest strength of the biometric system is that
they does not change over time so it is much more
efficient than other traditional security mechanism.
 Accuracy, performance, effectiveness & suitability of
the security systems can be increased.

19. References
 Wikipedia :
http:en.Wikipedia.org/wiki/Biometric_authentication
 Google Search Engine