1. The technology of future.
Submitted by, Guided by,
Joshi Pathik V. Miss A. D. Bhople

2. Contents
 Introduction
 History
 Present
 Future
 Procedure of Working
 Features of different parameters
 Application
 Conclusion
 References

3. Introduction
 Information security is concerned with
the assurance of confidentially, integrity
and availability of information in all
forms.
 This is the ancient Greek word: bios =
“life” and metron = “measure.”
 Biometric systems based on single source
of information are called unicode system.

4. History
 European Explorer Joao de Barros recorded the
first known example of fingerprinting in China
during the 14th century.
 1980:- Alphonse Bertillon studied body
mechanics and measurements to help in
identifying criminals.
 Karl Pearson, an applied mathematician studied
biometric research early in 20th century at
University college of London.
 In the 1960 and 1970, signature
biometric, authentication procedures were

5. Present
 Today, biometric lows and regulations are in
process and biometric industry standard are
being tested.
 It divided in two parts,
Behavioural Parameters Behavioural Parameters
•Fingerprint •Gait
•Palmprint •Voice
•Hand Veins •Signature
•Face •Keystroke
•Iris
•Retina
•DNA

6. Future
 A biometric system can provide two
functions. One of which is verification and
the other is Authentication.
 In the near future, these biometric
techniques can be the solution for the
current threats in the world of information
security.
 Due to dynamic modification of the
proposed metric, the rejection ration for a
some person reduces by a lot.

7. Procedure of Working

8. Features of Different
Parameters
 Fingerprint
 Iris Technology
 Retina Geometry Technology
 Face Recognition Technology
 Hand Geometry Technology
 Voice Recognition Techniques
 Signature Verification Technique

9. Fingerprint
 The size of fingerprint is around 10*10*15.
Arch Loop
Whorl
Ridge ending Bifurcation Short Ridge

10.  In this way the total features and template of
Fingerprint is as following. The matcher
matches any two templates as following
image.

11. Iris Recognition
 This can be a combination of specific
characteristics known as
corona, crypts, filaments, freckles, pits, furr
ows, striations and rings.

12. Retina Geometry Technology
 A retinal scan involves the use of a low-intensity
coherent light source, which is projected onto
the retina to illuminate the blood vessels which
are then photographed and analyzed.
 A retinal scan has an error rate of 1 in
10,000,000, compared to fingerprint
identification error being
sometimes as high as
1 in 500.

13. Face Recognition Technology
 Facial metric technology on the manufacture
of the specific facial features.
Eigen Face

14. Hand Geometry Technology
 There techniques include the estimation of
length, width, thickness and surface area of
the hand.

15. Voice Recognition Techniques
 Voice verification focuses on the vocal
characteristics that produce speeches and not
on the sound or the pronunciation of speech
itself.
 The vocal characteristics depend on the
dimensions of the vocal tract, mouth, nasal
cavities and the other speech processing
mechanism of the human body.

16. Signature Verification Technique
 The dynamics is measured as a means of the
pressure, direction, acceleration and the
length of the strokes, dynamics number of
strokes and their duration.
 These are either traditional tablets or special
purpose devices. Tablets capture 2D
coordinates and the pressure.

17. Application of Biometrics
 Security
 Authentication
 E-commerce and E-governments
 Secure Banking and Financial Transaction
 Digital Rights Management
 Healthcare Application
 Crime Investigation
 Social Services

18. Conclusion
 While Biometric authentication can offer a
high degree of security, they are far from
perfect solution.
 The influences of biometric technology on
society and the risks to privacy and threat to
identify will require meditation through
legislation.

19. References
[1] Smart Cart Alliance Identity Council (2007): Identity and Smart Card Technology and Application
Glossary, http://www.smartcardalliances.org
[2] Langenburg, Glenn (January 24, 2005). "Are one's fingerprints similar to those of his or her parents in any discernable way?".
Scientific American. Retrieved 28 August 2010.
[3] Thornton, John (May 9, 2000). "Latent Fingerprints, Setting Standards In The Comparison and Identification". 84th Annual
Training Conference of the California State Division of IAI. Retrieved 30 August 2010.
[4] Wikipedia Image
http://en.wikipedia.org/wiki/File:Biometric_system_diagram.png
[5] Sanjay R. Ganorkar, Ashok A. Ghatol, “Iris Recognition: An Emerging Biometrics Technology”, In Proc. of The sixth WSEAS
International Conference on Single Processing, Robotics and Automation, Greece, Feb. 2007, pp. 91 – 96
[6] J. L. Wayman, A. K. Jain, D. Maltoni, and D. Maio, Eds, “Biometrics Systems: Technology, Design and Performance
Evolution”, New York: Spinger Verlag, 2005
[7] M. A. Dabbah, W. L. Woo, and S. S. Dlay, “Secure Authentication for Face Recognition”, In Proc. of IEEE Symposium on
computational Intelligence in Image and Signal Processing, April 2007, USA, pp. 121 – 126
[8] A. Kumar, D. C. Wong, H. C. Shen and A. K. Jain , “Personal Verification using Palmprinnt and Hand Geometry Biometrics”, In
Proc. of fourth International Conference on Audio and Video based Biometric Person Authentication, Guildford, U.K.
January 2003, pp 668-678
[9] S. Furui, “Recent Advances in Speaker Recognition”, In Proc. of first International Conference on Audio and video based
Biometric person Authentication, UK, March 1997, pp 859 – 872
[10] A.K. Jain, A. Ross, and S. Prabhakar, “An Introduction to Biometrics Recognition,” IEEE Trans. Circuit Syst. Video
Technology, Special Issue Image and Video based Biometrics, Volume 14, Issue 1st January 2004, pp. 4 – 20

20. Thank You