Abstract
This paper proposes a novel palm-print feature extraction technique which is based on binarising the difference of Discrete Cosine Transform coefficients of overlapping circular strips. The binary features of palm-print are matched using Hamming distance. The system is evaluated using PolyU database consisting of 7,752 images. A procedure to extract palm-print for PolyU dataset is proposed and found to extract larger area compared to preprocessing technique in [1]. Variation in brightness of the extracted palm-print is corrected and the contrast of its texture is enhanced. Compared to the systems in [1, 2], the proposed system achieves higher Correct Recognition Rate (CRR) of 100 % with lower Equal Error Rate (EER) of 0.0073% at low computational cost.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zhang, D., Kong, A.W., You, J., Wong, M.: Online palmprint identification. IEEE Transactions on Pattern Analysis and Machine Intelligence 25, 1041–1050 (2003)
Sun, Z., Tan, T., Wang, Y., Li, S.: Ordinal palmprint representation for personal identification. In: International Conference on Computer Vision and Pattern Recognition, vol. I, pp. 279–284 (2005)
Jain, A., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Trans. on Circuits and Systems for Video Technology 14, 4–20 (2004)
Shu, W., Zhang, D.: Automated personal identification by palmprint. Optical Engineering 37, 2359–2362 (1998)
Zhang, D.D.: Palmprint Authentication. Kluwer Academic Publishers, Dordrecht (2004)
Kong, A., Zhang, D., Lu, G.: A study of identical twins’ palmprints for personal authentication. Pattern Recognition 39, 2149–2156 (2006)
Chen, J., Zhang, C., Rong, G.: Palmprint recognition using crease. In: International Conference on Information Processing, pp. 234–237 (2001)
Han, C., Cheng, H., Lin, C., Fan, K.: Personal authentication using palm-print features. Pattern Recognition 36, 371–381 (2003)
Jia, W., Huang, D., Zhang, D.: Palmprint verification based on robust line orientation code. Pattern Recognition 41, 1521–1530 (2008)
Zhang, D., Shu, W.: Two novel characteristics in palmprint verification:datum point invariance and line feature matching. Pattern Recognition 32, 691–702 (1999)
Wang, X., Gong, H., Zhang, H., Li, B., Zhuang, Z.: Palmprint identification using boosting local binary pattern. In: Intl. Confrence on Pattern Recognition, pp. 503–506 (2006)
Wenxin, L., Zhang, D., Zhuoqun, X.: Palmprint identification by fourier transform. International Journal of Pattern Recognition and Artificial Intelligence 16, 417–432 (2002)
Connie, T., Teoh, A., Ong, M., Ngo, D.: An automated palmprint recognition system. Image and Vision Computing 23, 501–515 (2005)
Ribaric, S., Fratric, I.: A biometric identification system based on eigenpalm and eigenfinger features. IEEE Transactions on Pattern Analysis and Machine Intelligence 27, 1698–1709 (2005)
Yu, P.F., Xu, D.: Palmprint recognition based on modified dct features and rbf neural network, vol. 5, pp. 2982–2986 (2008)
Dale, M., Joshi, M., Gilda, N.: Texture based palmprint identification using dct features, pp. 221–224 (2009)
Zhang, L., Zhang, D.: Characterization of palmprints by wavelet signatures via directional context modeling. Systems, Man, and Cybernetics (34), 1335–1347
Badrinath, G.S., Gupta, P.: Stockwell transform based palm-print recognition. Applied Soft Computing (in press)
Wu, X., Zhang, D., Wang, K.: Fisherpalms based palmprint recognition. Pattern Recognition Letters 24, 2829–2938 (2003)
Badrinath, G.S., Gupta, P.: Robust biometric system using palmprint for personal verification. In: International Conference on Biometrics, pp. 554–565 (2009)
Badrinath, G.S., Kachhi, N., Gupta, P.: Verification system robust to occlusion using low-order zernike moments of palmprint sub-images. In: Telecommunication Systems, pp. 1–16 (2010)
Kong, A., Zhang, D.: Feature-level fusion for effective palmprint authentication. In: International Conference on Biometrics, pp. 761–767 (2004)
Kong, A., Zhang, D.: Competitive coding scheme for palmprint verification. In: International Conference on Pattern Recognition, vol. I, pp. 520–523 (2004)
Kumar, A., Zhang, D.: Personal recognition using hand shape and texture. IEEE Transactions on Image Processing 15, 2454–2461 (2006)
Jing, X., Zhang, D.: A face and palmprint recognition approach based on discriminant dct feature extraction. Systems, Man, and Cybernetics-B 34 (2004)
(The polyu palmprint database), http://www.comp.polyu.edu.hk/~biometrics
Ahmed, N., Natarajan, T., Rao, K.R.: Discrete cosine transform. IEEE Trans. Computers 23, 90–93 (1974)
Feig, E., Winograd, S.: Fast algorithms for the discrete cosine transform. IEEE Transactions on Signal Processing 40, 2174–2193 (1992)
Hafed, Z.M., Levine, M.D.: Face recognition using the discrete cosine transform. International Journal of Computer Vision 43, 167–188 (2001)
Monro, D., Rakshit, S., Zhang, D.: Dct-based iris recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 29, 586–595 (2007)
Pavlidis, T.: Algorithms for Graphics and Image Processing. Computer Science Press, Rockville (1982)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Badrinath, G.S., Gupta, P. (2011). A Novel Representation of Palm-Print for Recognition. In: Kimmel, R., Klette, R., Sugimoto, A. (eds) Computer Vision – ACCV 2010. ACCV 2010. Lecture Notes in Computer Science, vol 6493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19309-5_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-19309-5_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19308-8
Online ISBN: 978-3-642-19309-5
eBook Packages: Computer ScienceComputer Science (R0)