Abstract
Palmprint is a reliable and accurate trait in the biometric family. To improve the accuracy of the existing palmprint systems, multispectral imaging is used for palmprint recognition. Although image level fusion and matching score level fusion were widely used for multispectral palmprint recognition, feature level fusion was paid less attention. This paper proposes a novel method for multispectral palmprint recognition by the feature level fusion technique. Experimental results on a large public multispectral database show that the proposed method could get better results than image level fusion, and it could get comparable results with matching score level fusion with less cost of storage.
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.: Automated Biometrics – Technologies and Systems. Kluwer, Boston (2000)
Zhang, D., Kong, W., You, J., Wong, M.: Online palmprint identification. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(9), 1041–1050 (2003)
Lu, G., Zhang, D., Wang, K.: Palmprint recognition using eigenpalms feature. Pattern Recognition Letters 24(9-10), 1463–1467 (2003)
Connie, T., Jin, A.T.B., Ong, M.G.K.: An automated palmprint recognition system. Image Vision Computing 23(5), 501–505 (2005)
Han, C., Cheng, H., Lin, C., Fan, K.: Personal authentication using palm-print features. Pattern Recognition 36(2), 371–381 (2003)
Hao, Y., Sun, Z., Tan, T.: Comparative Studies on Multispectral Palm Image Fusion for Biometrics. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds.) ACCV 2007, Part II. LNCS, vol. 4844, pp. 12–21. Springer, Heidelberg (2007)
Rowe, R.K., Uludag, U., Demirkus, M., Parthasaradhi, S., Jain, A.K.: A multispectral whole-hand biometric authentication system. In: Proceeding of Biometric Symposium, pp. 1–6 (2007)
Likforman-Sulem, L., Salicetti, S., Dittmann, J., Ortega-Garcia, J., Pavesic, N., Gluhchev, G., Ribaric, S., Sankur, B.: Final report on the jointly exected research carried on signature, hand and other modalities. BioSecure (2007)
Wang, J.-G., Yau, W.-Y., Suwandy, A., Sung, E.: Person recognition by fusing palmprint and palm vein images based on ‘Laplacianpalm’ representation. Pattern Recognition 41(5), 1514–1527 (2008)
Hao, Y., Sun, Z., Tan, T., Ren, C.: Multispectral palm image fusion for accurate contact-free palmprint recognition. In: Proceeding of International Conference on Image Processing, pp. 281–284 (2008)
Zhang, D., Guo, Z., Lu, G., Zhang, L., Zuo, W.: An online system of multispectral palmprint verification. IEEE Transactions on Instrumentation and Measurement 59(2), 480–490 (2010)
Han, D., Guo, Z., Zhang, D.: Multispectral palmprint recognition using wavelet-based image fusion. In: Proceeding of International Conference on Signal Processing, pp. 2074–2077 (2008)
Kong, A., Zhang, D.: Competitive coding scheme for palmprint verification. In: Proceeding of International Conference on Pattern Recognition, pp. 520–523 (2004)
PolyU multispectral palmprint database, http://www4.comp.polyu.edu.hk/biometrics/MultispectralPalmprint/MSP.htm
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this chapter
Cite this chapter
Luo, N., Guo, Z., Wu, G., Song, C. (2012). Multispectral Palmprint Recognition by Feature Level Fusion. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_64
Download citation
DOI: https://doi.org/10.1007/978-3-642-25792-6_64
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25791-9
Online ISBN: 978-3-642-25792-6
eBook Packages: EngineeringEngineering (R0)