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Reseach Article

Retina and Fingerprint based Biometric Identification System

Published on February 2013 by Tripti Rani Borah, Kandarpa Kumar Sarma, Pran Hari Talukdar
Mobile and Embedded Technology International Conference 2013
Foundation of Computer Science USA
MECON - Number 1
February 2013
Authors: Tripti Rani Borah, Kandarpa Kumar Sarma, Pran Hari Talukdar
6881d6b4-f05f-4480-bcdc-b3394911bdf6

Tripti Rani Borah, Kandarpa Kumar Sarma, Pran Hari Talukdar . Retina and Fingerprint based Biometric Identification System. Mobile and Embedded Technology International Conference 2013. MECON, 1 (February 2013), 74-77.

@article{
author = { Tripti Rani Borah, Kandarpa Kumar Sarma, Pran Hari Talukdar },
title = { Retina and Fingerprint based Biometric Identification System },
journal = { Mobile and Embedded Technology International Conference 2013 },
issue_date = { February 2013 },
volume = { MECON },
number = { 1 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 74-77 },
numpages = 4,
url = { /proceedings/mecon/number1/10798-1013/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Mobile and Embedded Technology International Conference 2013
%A Tripti Rani Borah
%A Kandarpa Kumar Sarma
%A Pran Hari Talukdar
%T Retina and Fingerprint based Biometric Identification System
%J Mobile and Embedded Technology International Conference 2013
%@ 0975-8887
%V MECON
%N 1
%P 74-77
%D 2013
%I International Journal of Computer Applications
Abstract

Artificial Neural Network(ANN)s are efficient means of prediction, optimization and recognition. Retina is an unique biometric pattern that can be used as part of a verification system. An ANN can be configured and trained to handle such variations observed in the texture of the fingerprint and retina. Fingerprint recognition is one such area that can be used as a means of biometric verification where the ANN can play a critical rule. The specialty of the work is associated with the fact that if the ANN is configured properly it can tackle the variations in the retinal and fingerprint images and that way provides the insights for developing a system which require these samples for verification and authorization. A system designed to provide authentication decision using these two inputs can be a reliable means of verification. Such a system designed using ANN and using retina and fingerprint inputs is described here. Experimental results show that the system is reliable enough for considering it as a part of a verification mechanism.

References
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  2. Hill, R. B. 2003. Retina Identification, Biometrics, Springer
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  4. Jain, A. , Hong, L. , Pankanti, S. and Bolle, R. 1997. "An identity authentication system using fingerprints. In Proceedings of the IEEE, vol. 85, pp. 1365–1388, September
  5. Thai, R. 2003. Fingerprint Image Enhancement and Minutiae Extraction
  6. Sarma, K. K. 2010. "MATLAB, Demystified, Basic Concepts and Applications " Vikas Publication, 1st ed. , New Delhi
  7. Jain, A. K. , Pankanti, S. and Bolle, R. 1999. Biometrics: Personal Identification in Networked Society, Kluwer Academic Publishers, Boston
  8. Maltoni, D. , Maio, D. , Jain, A. K. and Prabhakar, S. 2009. Handbook of Fingerprint Recognition, Springer Professional Computing, Berlin, 2nd ed.
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Network Fingerprint Minutiae Retina Blood Vessel