Abstract
Biometrics research based on palm vein recognition has been developed rapidly in recently years. However, due to the poor palm vein image quality, the performance of the recognition is not good enough. Recently, coding algorithms, such as Curvelet transform and Gabor Filter have been proposed and have been attracting much research attention. While the Curvelet Transform is good at extracting the linear features from the palm vein images, the Gabor Filter excels in extracting the orientation features. By investigating these two different coding schemes, we propose in this paper a score-level fusion scheme for palm print/vein verification. The proposed method was applied on the HK PolyU Database and an EER of 0.1023% was achieved, which outperforms using the Curvelet Transform or Gabor Filter alone.
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
Kumar, A., Hanmandlu, M., Gupta, H.M.: Online biometric authentication using hand vein patterns. In: IEEE Symposium on Computational Intelligence for Security and Defense Applications, CISDA 2009, pp. 1–7 (2009)
Jian-Gang, W., Wei-Yun, Y., Suwandy, A., Sung, E.: Fusion of Palmprint and Palm Vein Images for Person Recognition Based on “Laplacianpalm” Feature. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2007, pp. 1–8 (2007)
Kong, A.W.K., Zhang, D.: Competitive coding scheme for palmprint verification. In: Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, vol. 1, pp. 520–523 (2004)
Watanabe, M., Endoh, T., Shiohara, M., Sasaki, S.: Palm vein authentication technology and its applications. In: Proceedings of the Biometric Consortium Coference, Hyatt Regency Crystal City, Arlington, VA, USA (2005)
Qin, B., Pan, J.-F., Cao, G.-Z., Du, G.-G.: The Anti-spoofing Study of Vein Identification System. In: International Conference on Computational Intelligence and Security, CIS 2009, pp. 357–360 (2009)
Kong, A., Zhang, D., Kamel, M.: A survey of palmprint recognition. Pattern Recognition 42, 1408–1418 (2009)
Ghandehari, A., Safabakhsh, R.: Palmprint Verification Using Circular Gabor Filter. In: Tistarelli, M., Nixon, M.S. (eds.) ICB 2009. LNCS, vol. 5558, pp. 675–684. Springer, Heidelberg (2009)
Xiang-Qian, W., Kuan-Quan, W., David, Z.: Wavelet based palm print recognition. In: Proceedings of the 2002 International Conference on Machine Learning and Cybernetics, vol. 3, pp. 1253–1257 (2002)
Tamrakar, D., Khanna, P.: Analysis of Palmprint Verification Using Wavelet Filter and Competitive Code. In: 2010 International Conference on Computational Intelligence and Communication Networks (CICN), pp. 20–25 (2010)
Li, Q., Zeng, Y., Peng, X., Yang, K.: Curvelet-based palm vein biometric recognition. Chinese Optics Letters 8, 577–579 (2010)
Sun, J., Abdulla, W.: Palm vein recognition using curvelet transform. Presented at the Proceedings of the 27th Conference on Image and Vision Computing New Zealand, Dunedin, New Zealand (2012)
Ying, H., Zhenan, S., Tieniu, T., Chao, R.: Multispectral palm image fusion for accurate contact-free palmprint recognition. In: 15th IEEE International Conference on Image Processing, ICIP 2008, pp. 281–284 (2008)
Dong, H., Zhenhua, G., Zhang, D.: Multispectral palmprint recognition using wavelet-based image fusion. In: 9th International Conference on Signal Processing, ICSP 2008, pp. 2074–2077 (2008)
Li, W.-X., Zhang, D., Xu, Z.-Q.: Palmprint Recognition Based on Fourier Transform. Journal of Software 13 (2002)
Hsieh, C.-T., Lai, E., Wang, Y.-C.: An effective algorithm for fingerprint image enhancement based on wavelet transform. Pattern Recognition 36, 303–312 (2003)
Zhang, L.: The Hong Kong Polytechnic University (PolyU) Multispectral Palmprint Database, http://www.comp.polyu.edu.hk/~biometrics/MultispectralPalmprint/MSP.htm
Candès, E., Demanet, L., Donoho, D., Ying, L.: Fast Discrete Curvelet Transforms. Multiscale Modeling and Simulation 5, 861–899 (2006)
Zhenan, S., Tieniu, T., Yunhong, W., Li, S.Z.: Ordinal palmprint represention for personal identification. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, vol. 1, pp. 279–284 (2005)
Zhenhua, G., Wangmeng, Z., Lei, Z., Zhang, D.: Palmprint verification using consistent orientation coding. In: 2009 16th IEEE International Conference on Image Processing (ICIP), pp. 1985–1988 (2009)
Zhang, D., Zhenhua, G., Guangming, L., Lei, Z., Wangmeng, Z.: An Online System of Multispectral Palmprint Verification. IEEE Transactions on Instrumentation and Measurement 59, 480–490 (2010)
Zhang, D., Guo, Z., Lu, G., Zhang, L., Liu, Y., Zuo, W.: Online joint palmprint and palmvein verification. Expert Systems with Applications 38, 2621–2631 (2011)
Zhang, Y.-B., Li, Q., You, J., Bhattacharya, P.: Palm Vein Extraction and Matching for Personal Authentication. In: Qiu, G., Leung, C., Xue, X., Laurini, R. (eds.) VISUAL 2007. LNCS, vol. 4781, pp. 154–164. Springer, Heidelberg (2007)
Jia, W., Huang, D.-S., Zhang, D.: Palmprint verification based on robust line orientation code. Pattern Recognition 41, 1504–1513 (2008)
Mirmohamadsadeghi, L., Drygajlo, A.: Palm vein recognition with Local Binary Patterns and Local Derivative Patterns. In: 2011 International Joint Conference on Biometrics (IJCB), pp. 1–6 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Sun, J., Abdulla, W. (2013). Palm Vein Recognition by Combining Curvelet Transform and Gabor Filter. In: Sun, Z., Shan, S., Yang, G., Zhou, J., Wang, Y., Yin, Y. (eds) Biometric Recognition. CCBR 2013. Lecture Notes in Computer Science, vol 8232. Springer, Cham. https://doi.org/10.1007/978-3-319-02961-0_39
Download citation
DOI: https://doi.org/10.1007/978-3-319-02961-0_39
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02960-3
Online ISBN: 978-3-319-02961-0
eBook Packages: Computer ScienceComputer Science (R0)