An Enhanced Backpropagation Neural Network for Multimodal Biometric System


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Abstract


Multimodal biometric systems have many advantages over unimodal systems. Combining the evidence from different modalities using an effective fusion scheme can greatly improve the overall accuracy of such systems. The proposed methodology extracts DCT, Gabor and Line features from the fused palmprint and fingerprint image. The fused features are reduced using PCA and IG. The reduced feature vectors were classified using the proposed enhanced neural network classifier. The proposed method shows a significant improvement on different datasets compared to using palmprint technique alone.
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Keywords


Back Propagation; Discrete Cosine Transform; Neural Network; Multimodal Biometrics; Unimodal

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References


A.K. Jain, A. Ross, S. Prabhakar, An introduction to biometric recognition, IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, n. 1, pp. 4-20 ,2004.

Austin Hicklin, Brad Ulery, Craig Watson, A Brief Introduction to Biometric Fusion, 2006.

R.Snelick , U. Uludag , A. Mink, M .Indovina, A.K. Jain, Large scale evaluation of multimodal biometric authentication using state-of the-art systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, n. 3, pp. 450-455,2005.

LinlinShen, Zhen Ji, Yuwen Li, Li Bai, Coding Gabor Features for Multi-modal Biometrics, Proceedings of the Chinese Conference on Pattern Recognition, pp. 1-4, 2010.

Kumar, A., Wong, D., Shen, H. ,Jain, A, Personal verification using palmprint and hand geometry biometric, Proceedings of the International Conference on Audio and Video-based Biometric Person Authentication, pp. 668-678,2003.

Pengfei Yu, Dan Xu , Hao Zhou , Feature Level Fusion Using Palmprint and Finger Geometry Based on Canonical Correlation Analysis, Proceedings of the Third International Conference on Advanced Computer Theory and Engineering, vol. 5, pp. 260-264, 2010.

Yong Jian Chin, Thian Song Ong, Goh, KO ,Michael, Bee Yan Hiew, Integrating Palm print and Fingerprint for Identity Verification, Proceedings of the Third International Conference on Network and System Security, pp. 437-442,2009.

Wang, J., Li, Y., Ao, X., Wang, C, Zhou, J., Multi-modal biometric authentication fusing iris and palm-print based on GMM, Proceedings of the fifteenth IEEE workshop on statistical signal processing, pp. 349-352. 2009.

Kumar, A., Zhang, D., Combining fingerprint, palmprint and hand-shape for user authentication, Proceedings of the International Conference on Pattern Recognition, pp. 549-552, 2006.

S.A. Daramola, D. Oluwaninyo, , ‘Automatic Ear Recognition System using Back Propagation Neural Network’, Journal of Video & Image Processing and Network Security, vol. 11, n. 01, pp. 28-32,2011.

P.K Nayak, D Narayan, ‘Multimodal Biometric Face and Fingerprint Recognition Using Neural Network’, International Journal of Engineering Research & Technology, vol. 1, n. 10, pp 1-6, 2012.

K.R Rao, P. Yip, Discrete Cosine Transform: Algorithms, Advantages, Application, Academic Press, NewYork. 1990.

K.R. Namuduri, R. Mehrotra, N. Ranganathan, ‘Efficient computation of Gabor filter based multi-resolution responses’, Journal of Pattern Recognition, vol. 27, n. 7, pp. 925-938. 1994,

W. Xu , D. Zhang, K. Wang, ‘Fusion of phase and orientation information for palm print authentication’, Journal of Pattern Analysis and Applications, vol. 9, no. 2, pp. 103-111, 2006,

D. Huang, W. Jia, D. Zhang, ‘Palm print verification based on principal lines’, Pattern Recognition, vol. 41, n. 4, pp. 1316-1328,2008.

J. Elman, 1990, ‘Finding structure in time’, Cognitive Science, vol. 14, pp. 179-211.

D. Rumelhart, D. Hinton, G. Williams, F. McClelland, Parallel Distributed Processing, M.I.T. Press, vol. 1. 1986.

Vinothkanna, R., Wahi, A., An efficient finger print enhancement and recognition system viz fuzzy based filtering technique, (2013) International Review on Computers and Software (IRECOS), 8 (7), pp. 1506-1516.


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