Abstract
Currently, single sample biometrics recognition (SSBR) has emerged as one of the major research contents. It may lead to bad recognition result. To solve this problem, we present a novel approach by fusing two kinds of hand-based biometrics, i.e., palmprint and middle finger. We obtain their discriminant features by combining statistical information and structural information of each modal which are extracted using locality preserving projection (LPP) based on wavelet transform (WT). In order to reduce the influence of affine transform, we utilize mean filtering to enhance the robustness of structural information to improve the discriminant ability of palmprint high-frequency sub-bands. The two types of features are then fused at score level for the final hand-based SSBR. The experiments on the hand image database that contains 1,000 samples from 100 individuals show that the proposed feature extraction and fusion methods lead to promising performance.
Similar content being viewed by others
References
Dutağacı H, Sankur B, Yörük E (2008) A comparative analysis of global hand appearance-based person recognition. J Electronic Imaging 17(1):011018/1–011018/19
Wu J, Zhou ZH (2002) Face recognition with one training image per person. Pattern Recognit Lett 23(14):1711–1719
Zhang D, Lu G, Li W, Zhang L, Luo N (2009) Palmprint recognition using 3-D information. IEEE Trans Syst Man Cybern C Appl Rev 39(5):505–519
Li W, Zhang L, Zhang D, Lu G, Yan J (2010) Efficient joint 2D and 3D palmprint matching with alignment refinement. In: Proceedings of IEEE international conference on computer vision and pattern recognition, pp 795–801
Wang JG, Yau WY, Suwandy A, Sung E (2008) Person recognition by fusing palmprint and palm vein images based on “Laplacianpalm representation”. Pattern Recogn 41:1514–1527
Zhang D, Guo Z, Lu G, Zhang L, Zuo W (2010) An online system of multispectral palmprint verification. IEEE Trans Instr Measurem 59(2):480–490
Yao Y, Jing X, Wong H (2007) Face and palmprint feature level fusion for single sample biometrics recognition. Neurocomputing 70(7–9):1582–1586
Shen LL, Bai L, Ji Z (2010) Hand-based biometrics fusing palmprint and finger-knuckle-print. International workshop on emerging techniques and challenges for hand-based biometrics, pp 1–4
Zhang YQ, Sun DM, Qiu ZD (2010) Hand-based feature level fusion for single sample biometrics recognition. International workshop on emerging techniques and challenges for hand-based biometrics, pp 1–4
Ribaric S, Fratic I (2005) A biometric identification system based on eigenpalm and eigenfinger features. IEEE Trans PAMI 27(11):1698–1709
Kong A, Zhang D, Lu G (2006) A study of identical twins palmprint for personal verification. Pattern Recogn 39(11):2149–2156
Kong A, Zhang D, Kamel M (2009) A survey of palmprint recognition. Pattern Recogn 42(7):1408–1418
Lu G, Zhang D, Wang K (2003) Palmprint recognition using eigenpalms features. Pattern Recogn Lett 24(9–10):1463–1467
Wu X, Zhang D, Wang K (2003) Fisherpalms based palmprint recognition. Pattern Recogn Lett 24:2829–2838
Li W, Zhang D, Xu Z (2003) Palmprint identification by Fourier transform. Intern J Pattern Recognit Artif Intell 16(4):417–432
Zhang L, Guo Z, Wang Z, Zhang D (2007) Palmprint verification using complex wavelet transform. Proc Int Conf Image Process 2:417–420
Connie T, Jin ATB, Ong MGK, Ling DNC (2005) An automated palmprint recognition system. Image Vis Comput 23:501–515
Zhang D, Kong WK, You J, Wong M (2003) Online palmprint identification. IEEE Trans PAMI 25(9):1041–1050
Kong WK, Zhang D, Li W (2003) Palmprint feature extraction using 2-D Gabor filters. Pattern Recogn 36:2339–2347
Kong A, Zhang D, Kamel M (2006) Palmprint identification using feature-level fusion. Pattern Recogn 39(3):478–487
Kong AWK, Zhang D (2004) Competitive coding scheme for palmprint verification. In: Proceedings of international conference on pattern recognition, vol 1, pp 520–523
Guo Z, Zhang D, Zhang L, Zuo W (2009) Palmprint verification using binary orientation co-occurrence vector. Pattern Recogn Lett 30(13):1219–1227
Sun Z, Tan T, Wang Y, Li SZ (2005) Ordinal palmprint representation for personal identification. Proc IEEE Int Conf Comput Vis Pattern Recogn 1:279–284
Zhang L, Zhang D (2004) Characterization of palmprints by wavelet signatures via directional context modeling. IEEE Trans Syst Man Cybern B 34:1335–1347
Jia W, Huang DS, Zhang D (2008) Palmprint verification based on robust line orientation code Original. Pattern Recogn 41(5):1504–1513
Cook T, Sutton R, Buckley K (2010) Automated flexion crease identification using internal image seams. Pattern Recogn 43:630–635
Jain AK, Ross A, Pankanti S (1999) A prototype hand geometry-based verification system. In: Proceedings of second international conference on audio- and video-based biometric person authentication, Mar 1999, pp 166–171
Zhang L, Zhang L, Zhang D, Zhu HL (2010) Online finger-knuckle-print verification for personal authentication. Pattern Recogn 43(7):2560–2571
Zhang L, Zhang L, Zhang D, Zhu HL Ensemble of local and global information for finger-knuckle-print recognition. Pattern Recognition (in press)
Li Q, Qiu ZD, Sun DM (2004) “Personal identification using knuckleprint,” SINOBIOMETRICS’04. In: Proceedings (Lecture Notes in Computer Science, vol 3338), pp 680–689
Nanni L, Lumini A (2009) A multi-matcher system based on knuckle-based features. Neural Comput Appl 18(1):87–91
Li Q, Qiu ZD, Sun DM (2006) Feature-level fusion of hand biometrics for personal verification based on Kernel PCA. International conference on biometrics, pp 744–750
Ross A, Jain AK (2003) Information fusion in biometrics. Pattern Recogn Lett 24(13):2115–2125
Acknowledgments
The authors would like to express their sincere gratitude to the anonymous reviewers for their constructive comments. This work is supported by National Natural Science Foundation of China (NSFC, No. 60773015), Beijing Natural Science Foundation (No. 4102051), and the Fundamental Research Funds for the Central Universities (No. 2009JBZ006).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Zhang, Y., Sun, D. & Qiu, Z. Hand-based single sample biometrics recognition. Neural Comput & Applic 21, 1835–1844 (2012). https://doi.org/10.1007/s00521-011-0521-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00521-011-0521-x