Abstract
This paper describes a novel method for palmprint recognition based on registration information and 2D Gabor features. After preprocessing, a unified coordinate system is constructed for each palmprint image and used to guide ROI extraction. A multi-scale matching strategy is employed to match registration information and 2D Gabor features. In the first two levels, registration information is extracted and used to measure the global similarity between two palmprint patterns. In the third level, two palmprints are aligned with their registration information and then are matched using their corresponding Gabor features. The experimental results demonstrate the effectiveness of the method.
This paper is supported by the Project of National Science Fund for Distinguished Young Scholars of China under Grant No. 60225008, the Key Project of National Natural Science Foundation of China under Grant No. 60332010, the Project for Young Scientists’ Fund of National Natural Science Foundation of China under Grant No.60303022, and the Project of Natural Science Foundation of Beijing under Grant No.4052026.
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
Shu, W., Zhang, D.: Automated Personal Identification by Palmprint. Optical Eng. 37, 2659–2362 (1998)
Zhang, D., Shu, W.: Two novel characteristics in palmprint verification: Datum point invariance and line feature matching. Pattern Recognition 32, 691–702 (1999)
Duta, N., Jain, A.K., Mardia, K.V.: Matching of Palmprints. Pattern Recognition Letters 23, 477–485 (2001)
Wu, X., Wang, K., Zhang, D.: HMMs Based Palmprint Identification. In: Zhang, D., Jain, A.K. (eds.) ICBA 2004. LNCS, vol. 3072, pp. 775–781. Springer, Heidelberg (2004)
Wu, X., Wang, K., Zhang, D.: An Approach to Line Feature Representation and Matching for Palmprint Recognition. Journal of Software 15, 869–880 (2004)
Kong, W., Zhang, D.: Palmprint feature extraction using 2-D Gabor filters. Pattern Recogntion 36, 2339–2347 (2003)
Zhang, D., Kong, W., You, J., Wong, M.: Online Palmprint identification. IEEE Trans. on Pattern Analysis and Machine Intelligence 25, 1041–1050 (2003)
Li, W., Zhang, D., Xu, Z.: Palmprint identification by Fourier Transform. Int. J. Pattern Recognit. Artificial Intell 16, 417–432 (2002)
Lu, G., Zhang, D., Wang, W.: Palmprint recognition using eigenpalms features. Pattern Recognition Letters 24, 1463–1467 (2003)
Connie, T., Teoh, A., Goh, M., Ngo, D.: Palmprint Recognition with PCA and ICA. In: Conference of Image and Vision Computing New Zealand 2003 (IVCNZ 2003), November 26, pp. 227–232. Massey University, Palmerstone North, New Zealand (2003)
You, J., Li, W., Zhang, D.: Hierarchical palmprint identification via multiple feature extraction. Pattern Recognition 35, 847–850 (2002)
You, J., Kong, W., Zhang, D.: On Hierarchical Palmprint Coding With Multiple Features for Personal Identification in Large Databases. IEEE Trans. on Pattern Analysis and Machine Intelligence 14, 234–243 (2004)
PolyU Palmprint Palmprint Database, http://www.comp.polvu.edu.hk/~biometrics/
Li, L., Tian, J., He, Y., Yang, X.: Palmprint Recognition Using Fourier-Mellin Transformation based Registration Method, Audio- and Vedio-based Biometric Person Authentication (2005) (accepted)
Reddy, B.S., Chatterji, B.N.: An FFT-based Technique for Translation, Rotation and Scale-Invariant Image Registration. IEEE Transactions on Image Processing 5, 1266–1271 (1996)
Daugman, J.G.: High Confidence Visual Recognition of Persons by a Test of Statistical Independence. IEEE Trans. on Pattern Analysis and Machine Intelligence 15, 1148–1161 (1993)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, L., Tian, J., Hi, Y., Yang, X. (2005). Multi-scale Palmprint Recognition Using Registration Information and 2D Gabor Feature. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Image Analysis. ICAPR 2005. Lecture Notes in Computer Science, vol 3687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552499_15
Download citation
DOI: https://doi.org/10.1007/11552499_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28833-6
Online ISBN: 978-3-540-31999-3
eBook Packages: Computer ScienceComputer Science (R0)