Abstract
Palmprint is emerging as a new multi-modal biometric for human recognition. Multispectral palmprint images captured in the visible and infrared spectrum not only contain the superficial structure of a palm, but also the underlying structure of veins; making them a highly discriminating person identifier. This study comparatively analyzes multidirectional representations for multispectral palmprint recognition which show promising results. Comprehensive experiments for both identification and verification scenarios are performed on three public datasets. The accuracies of state-of-the-art clearly indicate the viability of multidirectional coding methods for multispectral palmprint recognition.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
PolyU Multispectral Palmprint Database http://www.comp.polyu.edu.hk/~biometrics/MultispectralPalmprint/MSP.htm.
- 2.
PolyU Hyperspectral Palmprint Database http://www4.comp.polyu.edu.hk/~biometrics/HyperspectralPalmprint/HSP.htm.
- 3.
CASIA Multispectral Palmprint Database http://www.cbsr.ia.ac.cn/MS_Palmprint_Database.asp.
References
Guo, Z., Zhang, D., Zhang, L., Liu, W.: Feature band selection for online multispectral palmprint recognition. IEEE Trans. Inf. Forensics Secur. 7(3), 1094–1099 (2012)
Huang, D.S., Jia, W., Zhang, D.: Palmprint verification based on principal lines. Pattern Recogn. 41(4), 1316–1328 (2008)
Jain, A.K., Feng, J.: Latent palmprint matching. IEEE Trans. Pattern Anal. Mach. Intell. 31(6), 1032–1047 (2009)
Khan, Z., Mian, A., Hu, Y.: Contour code: Robust and efficient multispectral palmprint encoding for human recognition. In: Proceedings of the International Conference on Computer Vision (ICCV), pp. 1935–1942. IEEE (2011)
Kong, A., Zhang, D., Kamel, M.: A survey of palmprint recognition. Pattern Recogn. 42(7), 1408–1418 (2009)
Kong, A.K., Zhang, D.: Competitive coding scheme for palmprint verification. In: Proceedings of the International Conference on Pattern Recognition, pp. 520–523. IEEE (2004)
Lu, G., Zhang, D., Wang, K.: Palmprint recognition using eigenpalms features. Pattern Recogn. Lett. 24(9), 1463–1467 (2003)
Sun, Z., Tan, T., Wang, Y., Li, S.Z.: Ordinal palmprint representation for personal identification. In: Proceedings of the Computer Vision and Pattern Recognition, pp. 279–284. IEEE (2005)
Wu, X., Wang, K., Zhang, D.: Palmprint texture analysis using derivative of gaussian filters. In: Proceedings of the International Conference on Computational Intelligence and Security, pp. 751–754. IEEE (2006)
Wu, X., Zhang, D., Wang, K.: Fisherpalms based palmprint recognition. Pattern Recogn. Lett. 24(15), 2829–2838 (2003)
Zhang, D., Guo, Z., Lu, G., Zhang, L., Liu, Y., Zuo, W.: Online joint palmprint and palmvein verification. Expert Syst. Appl. 38(3), 2621–2631 (2011)
Zhang, D., Kong, W.K., You, J., Wong, M.: Online palmprint identification. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1041–1050 (2003)
Zhang, D., Zuo, W., Yue, F.: A comparative study of palmprint recognition algorithms. ACM Comput. Surv. (CSUR) 44(1), 2:1–2:37 (2012)
Acknowledgements
This research was supported by ARC Grant DP0881813 and DP110102399. Authors acknowledge the Polytechnic University of Hong Kong for providing the PolyU-MS and PolyU-HS Palmprint database and the Chinese Academy of Sciences’ Institute of Automation for providing the CASIA MS-PalmprintV1 database.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Khan, Z., Shafait, F., Mian, A. (2015). Comparison of Multidirectional Representations for Multispectral Palmprint Recognition. In: Garain, U., Shafait, F. (eds) Computational Forensics. IWCF IWCF 2012 2014. Lecture Notes in Computer Science(), vol 8915. Springer, Cham. https://doi.org/10.1007/978-3-319-20125-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-20125-2_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20124-5
Online ISBN: 978-3-319-20125-2
eBook Packages: Computer ScienceComputer Science (R0)