Research ArticleOpen AccessGoogle Scholar indexed
Human Identity Verification Using Multispectral Palmprint Fusion
Department of Computer Science and Engineering, Asansol Engineering College, Asansol, India
Department of Electrical and Electronics Engineering, University of Cagliari, Cagliari, Italy
Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Department of Computer Science and Engineering, Jadavpur University, Kolkata, India
Department of Computer Science, Texas State University, San Marcos, USA
- 1 Department of Computer Science and Engineering, Asansol Engineering College, Asansol, India
- 2 Department of Electrical and Electronics Engineering, University of Cagliari, Cagliari, Italy
- 3 Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, India
- 4 Department of Computer Science and Engineering, Jadavpur University, Kolkata, India
- 5 Department of Computer Science, Texas State University, San Marcos, USA
Journal of Signal and Information Processing·Volume 03 (2012)·Pages 263–273·Published 30 May 2012·DOI10.4236/jsip.2012.32036
Copy link · social · email
Abstract
This paper presents an intra-modal fusion environment to integrate multiple raw palm images at low level. Fusion of palmprint instances is performed by wavelet transform and decomposition. To capture the palm characteristics, the fused image is convolved with Gabor wavelet transform. The Gabor wavelet based feature representation reflects very high dimensional space. To reduce the high dimensionality, ant colony optimization algorithm is applied to consider only relevant, distinctive and reduced feature set from Gabor responses. Finally, the reduced set of features is trained with support vector machines and accomplished user recognition tasks. For evaluation, CASIA multispectral palmprint database is used. The experimental results reveal that the system is robust and encouraging while variations of classifiers are used.
KeywordsPalmprint VerificationMultispectral Image FusionGabor Wavelet FiltersAnt Colony OptimizationSupport Vector Machines
- Y. W. Wong, K. P. Seng, L.-M. Ang, W. Y. Khor and F. Liau, “Audio-Visual Recognition System with Intra-Modal Fusion,” Proceedings of the International Conference on Computational Intelligence and Security, Harbin, 15-19 December 2007, pp. 609-613.
- A. K. Ross, K. Nandakumar and A. K. Jain, “Handbook of Multibiometrics,” Springer Verlag, New York, 2006.
- A. K. Jain, P. Flynn and A. Ross, “Handbook of Biometrics,” Springer-Verlag, New York, 2007.
- D. R. Kisku, J. K. Sing, M. Tistarelli and P. Gupta, “Multisensor Biometric Evidence Fusion for Person Authentication using Wavelet Decomposition and Monotonic-Decreasing Graph,” Proceedings of the 7th IEEE International Conference on Advances in Pattern Recognition, 4-6 February 2009, pp. 205-208.
- Y. H. Z. Sun, T. Tan and C. Ren, “Multi-Spectral Palm Image Fusion for Accurate Contact-Free Palmprint Recognition,” Proceedings of the IEEE International Conference on Image Processing, Beijing, 12-15 October 2008, pp. 281-284.
- Y. Hao, Z. Sun and T. Tan, “Comparative Studies on Multispectral Palm Image Fusion for Biometrics,” Proceedings of the Asian Conference on Computer Vision, Vol. 2, 2007, pp. 12-21.
- D. Zhang, “Palmprint Authentication,” Kluwer Academic Publishers, Boston, 2004.
- D. Zhang, W. K. Kong, J. You and M. Wong, “On-Line Palmprint Identification,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, 2003, pp. 1041-1050. doi:10.1109/TPAMI.2003.1227981
- A. Kong and D. Zhang, “Competitive Coding Scheme for Palmprint Verification,” Proceedings of the International Conference on Pattern Recognition, Vol. 1, 2004, pp. 520-523.
- L. Zhang and D. Zhang, “Characterization of Palmprints by Wavelet Signatures via Directional Context Modeling,” IEEE Transactions on SMC-B, Vol. 34, No. 3, 2004, pp. 1335-1347.
- W. K. Kong, D. Zhang and W. Li, “Palmprint Feature Extraction using 2-D Gabor Filters,” Pattern Recognition, Vol. 36, No. 10, 2003, pp. 2339-2347. doi:10.1016/S0031-3203(03)00121-3
- Z. Guo, D. Zhang, L. Zhang and W. Zuo, “Palmprint Verification Using Binary Orientation Co-Occurrence Vector,” Pattern Recognition Letters, Vol. 30, No. 13, 2009, pp. 1219-1227. doi:10.1016/j.patrec.2009.05.010
- Z. Sun, T. Tan, Y. Wang and S. Z. Li, “Ordinal Palmprint Representation for Personal Identification,” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Beijing, 20-25 June 2005, pp. 279-284.