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Privacy Preservation Using Multimodal Physiological Biometric Recognition

Dr. M. Ezhilarasan, S. Raghavendiran, R. Kushwanth, B. Prasanna Kumar, R. Vigneswaran

Abstract


The fast developing trend of Information Technology and the increasing requirement for Information and Network Security have demanded for efficient personal identification systems. Biometrics is seen by many as a solution to a lot of the user identification and security problems in today‘s networks. Either intentional or inadvertent, misuse or abuse of passwords is a gaping hole in the present day security system. This paper proposes multimodal biometric system for identity verification using two biometric traits such as fingerprint and iris. In this paper, Fingerprint verification is performed using Minutiae Matching Technique and Iris verification uses Daugman Algorithm along with consideration of intra-class variation in the iris pattern. The final decision is made by fusion at “Decision level” in which separate authentication decision is made for each biometric trait and these scores are then combined to make a final decision.

Keywords


Biometrics, Iris, Fingerprint, Fusion and Decision level.

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References


D. M. Etter, “Biometrics: The Promises and the challenges,” presentation at the Biometric Consortium Conference, VA, U.S.A., 2003. http://www.biometrics.org/bc2003/program.htm.

Woodward, N.M. Orlans, and P.T. Higgins, “Biometrics,” The McGraw-Hill Company, Berkeley, California, 2002.

A. K. Jain, P. Flynn, A. Ross, " Handbook of Biometrics," Springer, 2007.

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, June 2006, pp. 125-143.

Y. Zhu, S.C. Dass and A.K. Jain, "Statistical Models for Assessing the Individuality of Fingerprints," IEEE Transactions on Information Forensics and Security, vol. 2, no. 3, Sep. 2007, pp. 391-401.

Sharath Pankanti, Salil Prabhakar, and Anil K. Jain, “On the Individuality of Fingerprints,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 8, Aug. 2002.

A. Ross, J. Shah and A. K. Jain, "Towards Reconstructing Fingerprints From Minutiae Points," Proc. of SPIE Conference on Biometric Technology for Human Identification II, vol. 5779, (Orlando, USA), Mar. 2005, pp. 68 – 80.

FVC Fingerprint Image Database, http://bias.csr.unibo.it/fvc2004.

R. P. Wildes, “Automated iris recognition: An emerging biometric technology,” Proceedings of the IEEE, vol.85, 1997, pp.1348- 1363.

W. Kong, D. Zhang, “Accurate iris segmentation based on novel reflection and eyelash detection model,” Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong, 2001.

CASIA Iris Image Database, http://www.sinobiometrics.com.

J. G. Daugman, “How iris recognition works,” IEEE Trans. Circuits and Syst. for Video Tech., vol1.4, no.1, 2004, pp. 21-30.

A. Ross and A. K. Jain, “Information fusion in bio- metrics,” Pattern Recognition Letters, vol. 24, 2003, pp. 2115-2125.

R. W. Frischholz and U. Dieckmann, “Bioid: A multimodal biometric identification system,” IEEE Computer, vol. 33, Feb. 2000, pp. 64-68.

Salil Prabhakar and Anil Jain, “Decision-level Fusion in Fingerprint Verification,” Pattern Recognition, vol. 35, 2002, pp. 861-874.


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