This document provides an overview of biometric authentication techniques. It discusses what biometric authentication is, the different types of biometric techniques including fingerprint, face, iris, hand geometry, and voice recognition. It covers how biometric systems work, performance metrics, applications, limitations, and concludes that biometric authentication provides strong security for applications like e-commerce and e-government by utilizing unique physical and behavioral human traits.

1. BIOMETRIC AUTHENTICATION
TECHNIQUES
Preparedd By
Subhash Basishtha
Saptarshi Boruah
M.Tech Scholar.

2. Presentation outlines
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What is Authentication ?
Types of Authentication
What is Biometric?
Why Biometric?
Characteristics of Biometric
Mode of Biometric system
Working of Biometrics System
Different Biometric techniques
Comparison Between Different Techniques
Performance Metrics
Applications of Biometric Authentication
Limitations of Biometric System
Conclusion
References

3. What is Authentication
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Authentication is the act of confirming
something what it claims to be.
It is the process of giving someone identity so
that he or she can access that particular
application or data.
For e.g.: giving identity-card to a student of an
institute.

4. Main types of authentication
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By using passwords, PIN
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By using smart card or swipe card
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By using Biometric

5. What Is Biometric ?
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Biometric is a combination of two Greek words
Bio(Life) and Metric(To Measure).
It actually measures and analyzes the
biological traits of a human being.
Biometric is the automated process of
identifying or verifying an individual based
upon his or her behavioral or physical
characteristics.

6. Contd..
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Biometric based authentication systems are
able to provide high security against
confidential financial transactions and
personal data privacy.
“something that you are”

7. Why Biometric?
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Identity theft is not possible
password remembrance problem does not
exist
Cannot be predicted or hacked
Cannot be shared
Perceived as more secure

8. Characteristics of Biometric
Automated method of recognizing an individual is
based
on two main characteristics :
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Physical characteristics are related to physical
shape of the body. For e.g.: fingerprint ,face
recognition, hand geometry, iris recognition etc.
Behavioral characteristics are related to the
behavior of a person. For e.g.: voice pitch,
speaking style, typing rhythm, signature etc.

9. Biometric Technique
Classification
[3]

10. Mode 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 that the individual is who he claims to be
 For e.g.: is this “x”?

11. Working of biometric system
Steps:
 Capturing
 Pre-processing
 Feature extraction
 Template matching
 Matcher/Comparison
 Application Device
[3]

12. Working process
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Enrollment: In this stage, the information
captured from the subject by the sensing
device is stored in a database for later
comparison. When someone uses biometric
for the first time then the stage is called
enrollment.

13. Contd…
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Authentication: In this stage, the registered
biometric sample during the enrollment
process are matched against newly capturing
biometric sample.

14. Biometric devices consist of
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A scanning device
A software which converts scanned
information into digital forms and compares on
some matching points
A database that stores biometric features for
further comparison

15. Different biometric technique
Fingerprint technology:
 It is the oldest and most widely used method.
 It needs a fingerprint reader.
 Registered points are located and compared.
 Optical sensors are used for scanning purpose.
 It can be used for many applications like pc
login security, voting system,
attendance system etc.
[12]

16. Contd..
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Uses the ridge endings and bifurcation's on a persons
finger to plot points known as Minutiae
The number and locations of the minutiae vary from
finger to finger in any particular person, and from person
to person for any particular finger
Finger Image
Finger Image + Minutiae
Minutiae

17. Contd..
Face recognition technology:
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Face Recognition is a biometric technique 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.

18. Contd..
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 canner analyzes features like rings,
furrows, and freckles existing in the colored tissue
surrounding the pupil.
 Iris pattern is not changed over
years or by glasses, contact lens

19. Contd..
Hand Geometry Technology
 This method uses hand images for person
identification or verification.
 Person identification using hand geometry
utilizes hand images to extract a number of
features such as finger length, width,
thickness, finger area etc.
 Measures the digits of the hand and compares
to those collected at the time of enrollment.

20. Contd..
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Places hand on the system, which takes the
three dimensional image of the hand.
[6]

21. Contd..
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Speaker recognition technology:
Voice Recognition or Speaker Recognition is a biometric
process of validating a user's claimed identity using
characteristics extracted from their voices.
It uses the pitch, pattern, tone, frequency, rhythm of speech
for identification purposes.
A telephone or microphone can act as a sensor.

22. Contd..
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During the enrollment phase, the spoken
words are converted from analog to digital
format, and the distinctive vocal characteristics
such as pitch, frequency, and tone, are
extracted, and a speaker model is established.
A template is then generated and stored for
future comparisons.
Speaker recognition is often used where voice
is the only available biometric identifier, such
as telephone.

23. Comparison Between Different
Technique
[3]

24. Performance Metrics
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FAR(False Acceptance Rate) : It is a measure
of the percent of invalid inputs that are
incorrectly accepted.
FRR(False Reject Rate) : It is a measure of
the percent of valid inputs that are incorrectly
rejected.
CER(Crossover Error Rate) : The rate at
which both the accept and reject errors are
equal.
- a lower value of the CER is more accurate
for Biometric System.

25. Performance Metrics Curve
[4]

26. Applications of Biometric System
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Criminal identification
Internet banking
Attendance system
Airport, Bank security
PC login security
Prevents unauthorized access to private data
Financial transaction management

27. Limitations of Biometric System
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Presence of noise in the sensed data
Variations in the enrolled data
Non-universality
It is an expensive security solution

28. Conclusion
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The development of e-commerce or egovernment sites can be achieved through the
utilization of this strong authentication
process.
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.

29. REFERENCES
1.
2.
3.
4.
Emanuele Maiorana, Chiara Ercole, Secure
Biometric Authentication System Architecture
using Error Correcting Codes and Distributed
Cryptography.
Fernando L. Podio and Jeffrey S.
Dunn.Biometric Authentication Technology:
From the Movies to Your Desktop.
Fahad Al-harby, Rami Qahwaji, and Mumtaz
Kamala. Secure Biometrics Authentication: A
brief review of the Literature.
Dr. NatarajanMeghanathan. Biometrics for
Information Security.

30. REFERENCES
5.
6.
7.
8.
Anil K. Jain, AjayKumar,
Biometrics of Next Generation: An Overview.
SPRINGER, 2010.
Debnath Bhattacharyya, Rahul Ranjan, Farkhod
Alisherov A.,and Minkyu Choi. Biometric
Authentication: A Review, International Journal
of u- and e- Service, Science and Technology
,Vol. 2, No. 3, September, 2009.
Dr. JK Schneider. BIOMETRICS,
SMARTPHONES AND THE E-WALLET.2011.
Zdenek Ríha, Václav Matyáš. Biometric
Authentication Systems. FIMU Report Series.

31. REFERENCES
9.
10.
11.
12.
Phalguni Gupta, Ajita Rattani, Hunny Mehrotra, Anil
Kumar Kaushik. Multimodal Biometrics System for
Efficient Human Recognition.
Debnath Bhattacharyya,Rahul Ranjan,Poulami
Das,Tai Hoon Kim, Samir Kumar Bandyopadhyay,
Biometric Authentication Technique and Its Future
probabilities. IEEE Trans Int. conf. On Computer and
Electrical Engineering,pp. 652-655, 2009.
A. K. Jain, A. Ross and S. Pankanti, “Biometrics: A
Tool for Information Security,” IEEE Transactions on
Information Forensics and Security, vol. 1, no. 2, pp.
125 –143, June 2006.
http://en.wikipedia.org/wiki/Biometric_authentication