Abstract
In this paper, we propose a new method for palmprint recognition based on the registration results between two palmprint images. After preprocessing, a unified coordinate system is constructed for each palmprint image. If two palmprints images are captured from the same hand, the translation, rotation and scaling alignment differences between their corresponding image blocks should be small. Therefore the registration parameters obtained by the Fourier-Mellin Transformation are used to measure the similarity between two palmprint patterns. Experimental results demonstrate the effectiveness of our ideas.
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
Jain, A.K., Bolle, B., Pankanti, S.: BIOMETRICS Personal Identification in Network Soc., p. 411. Kluwer Academic, Dordrecht (1999)
Shu, W., Zhang, D.: Automated Personal Identification by Palmprint. Optical Eng. 37, 2659–2662 (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.: An approach to line feature representation and matching for palmprint recognition. Journal of Software 15, 869–880 (2004)
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)
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)
Wu, X., Zhang, D., Wang, K.: Fisherpalms based palmprint recognition. Pattern Recognition Letters 24, 2829–2938 (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), Massey University, Palmerstone North, New Zealand, November 26, pp. 227–232 (2003)
You, J., Li, W., Zhang, D.: Hierarchical palmprint identification via multiple feature extraction. Pattern Recognition 35, 847–850 (2002)
PolyU Palmprint Palmprint Database, http://www.comp.polyu.edu.hk/~biometrics/
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)
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., Yang, X., Hi, Y., Tian, J. (2005). Palmprint Recognition Using Fourier-Mellin Transformation Based Registration Method. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_76
Download citation
DOI: https://doi.org/10.1007/11527923_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27887-0
Online ISBN: 978-3-540-31638-1
eBook Packages: Computer ScienceComputer Science (R0)