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Fusion Methodologies of Multiple Traits

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Discriminative Learning in Biometrics

Abstract

Multi-biometrics can provide higher identification accuracy than single biometrics, so it is more suitable for some real-world personal identification applications that need high-standard security. Among various biometrics technologies, palmprint identification has received much attention because of its good performance. In this chapter, we will present two novel fusion methodologies of multi-traits for personal identification. We first present an effective palmprint identification method via the fusion of the left and right palmprints, which can be viewed as the fusion method of multiple traits with the same category. Then, we introduce another personal identification method via the fusion of the palmprint and palmvein, which uses multiple traits from the different category.

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Notes

  1. 1.

    http://www.comp.polyu.edu.hk/~biometrics/.

  2. 2.

    http://www4.comp.polyu.edu.hk/~csajaykr/IITD/Database_Palm.htm.

  3. 3.

    Different from the CompCode in Sect. 9.3.1.2 where the minimal response is used, here, the shape of used matched filters is identical to the cross-section of vein, thus the maximal response is kept.

  4. 4.

    PolyU Palmprint Database (2006). <http://www.comp.polyu.edu.hk/_biometrics>.

References

  • P. Bao, L. Zhang, X. Wu, Canny edge detection enhancement by scale multiplication. IEEE Trans. Pattern Anal. Mach. Intell. 27(9), 1485–1490 (2005)

    Article  Google Scholar 

  • T. Connie, A.T.B. Jin, M.G.K. Ong, D.N.C. Ling, An automated palmprint recognition system. Image Vis. Comput. 23(5), 501–515 (2005)

    Article  Google Scholar 

  • J. Daugman, The importance of being random: statistical principles of iris recognition. Pattern Recogn. 36(2), 279–291 (2003)

    Article  Google Scholar 

  • C.-C. Han, H.-L. Cheng, C.-L. Lin, K.-C. Fan, Personal authentication using palm-print features. Pattern Recogn. 36(2), 371–381 (2003)

    Article  Google Scholar 

  • Y. Hao, Z. Sun, T. Tan., Comparative studies on multispectral palm image fusion for biometrics, in Computer Vision–ACCV 2007 (Springer, Berlin, 2007)

    Google Scholar 

  • R.M. Haralick, K. Shanmugam, I.H. Dinstein, Textural features for image classification. IEEE Trans. Syst. Man Cybern. 6, 610–621 (1973)

    Article  Google Scholar 

  • A. Hoover, V. Kouznetsova, M. Goldbaum, Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response. IEEE Trans. Med. Imaging 19(3), 203–210 (2000)

    Article  Google Scholar 

  • D. Hu, G. Feng, Z. Zhou, Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition. Pattern recogn. 40(1), 339–342 (2007)

    Article  MATH  Google Scholar 

  • D.-S. Huang, W. Jia, D. Zhang, Palmprint verification based on principal lines. Pattern Recogn. 41(4), 1316–1328 (2008)

    Article  Google Scholar 

  • A.K. Jain, J. Feng, Latent palmprint matching. IEEE Trans. Pattern Anal. Mach. Intell. 31(6), 1032–1047 (2009)

    Article  Google Scholar 

  • A.K. Jain, A. Ross, S. Prabhakar, An introduction to biometric recognition. IEEE Trans. Circuits Syst. Video Technol. 14(1), 4–20 (2004)

    Article  Google Scholar 

  • A. Kong, D. Zhang, M. Kamel, A survey of palmprint recognition. Pattern Recogn. 42(7), 1408–1418 (2009)

    Article  Google Scholar 

  • A.K. Kong, D. Zhang, Competitive coding scheme for palmprint verification, in Proceedings of the 17th International Conference on Pattern Recognition (IEEE, 2004), pp. 520–523)

    Google Scholar 

  • Y. Lee, K. Hwang, Skin thickness of Korean adults. Surg. Radiol. Anat. 24(3–4), 183–189 (2002)

    MathSciNet  Google Scholar 

  • D.G. Lowe, Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60(2), 91–110 (2004)

    Article  Google Scholar 

  • A. Morales, M. Ferrer, A. Kumar, Towards contactless palmprint authentication. IET Comput. Vision 5(6), 407–416 (2011)

    Article  MathSciNet  Google Scholar 

  • S.T. Parthasaradhi, R. Derakhshani, L. Hornak, S.A. Schuckers, Time-series detection of perspiration as a liveness test in fingerprint devices. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 35(3), 335–343 (2005)

    Article  Google Scholar 

  • S. Ribaric, I. Fratric, A biometric identification system based on eigenpalm and eigenfinger features. IEEE Trans. Pattern Anal. Mach. Intell. 27(11), 1698–1709 (2005)

    Article  Google Scholar 

  • A.A. Ross, K. Nandakumar, A.K. Jain, Handbook of multibiometrics (Springer Science & Business Media, Berlin, 2006)

    Google Scholar 

  • S.A. Schuckers, Spoofing and anti-spoofing measures. Inform. Secur. Tech. Rep. 7(4), 56–62 (2002)

    Article  Google Scholar 

  • S. Tulyakov, V. Govindaraju, Use of identification trial statistics for the combination of biometric matchers. IEEE Trans. Inform. Forensics Secur. 3(4), 719–733 (2008)

    Article  Google Scholar 

  • J.-G. Wang, W.-Y. Yau, A. Suwandy, E. Sung, Person recognition by fusing palmprint and palm vein images based on “Laplacianpalm” representation. Pattern Recogn. 41(5), 1514–1527 (2008)

    Article  MATH  Google Scholar 

  • X. Wu, D. Zhang, K. Wang, Fisherpalms based palmprint recognition. Pattern Recogn. Lett. 24(15), 2829–2838 (2003)

    Article  Google Scholar 

  • X. Wu, D. Zhang, K. Wang, N. Qi, Fusion of palmprint and iris for personal authentication, in Advanced Data Mining and Applications (Springer, Berlin, 2007)

    Google Scholar 

  • Y. Xu, L. Fei, D. Zhang, Combining left and right palmprint images for more accurate personal identification. IEEE Trans. Image Process. 24(2), 549–559 (2015)

    Article  MathSciNet  Google Scholar 

  • Y. Xu, Q. Zhu, D. Zhang, Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments. Neurocomputing 74(18), 3946–3952 (2011)

    Article  Google Scholar 

  • Y.-F. Yao, X.-Y. Jing, H.-S. Wong, Face and palmprint feature level fusion for single sample biometrics recognition. Neurocomputing 70(7), 1582–1586 (2007)

    Article  Google Scholar 

  • D. Zhang, Z. Guo, G. Lu, L. Zhang, Y. Liu, W. Zuo, Online joint palmprint and palmvein verification. Expert Syst. Appl. 38(3), 2621–2631 (2011)

    Article  Google Scholar 

  • D. Zhang, Z. Guo, G. Lu, L. Zhang, W. Zuo, An online system of multispectral palmprint verification. IEEE Trans. Instrum. Meas. 59(2), 480–490 (2010)

    Article  Google Scholar 

  • D. Zhang, W.-K. Kong, J. You, M. Wong, Online palmprint identification. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1041–1050 (2003)

    Article  Google Scholar 

  • Y-B. Zhang, Q. Li, J. You, P. Bhattacharya, Palm vein extraction and matching for personal authentication, in Advances in Visual Information Systems (Springer, Berlin, 2007)

    Google Scholar 

  • V.P. Zharov, S. Ferguson, J.F. Eidt, P.C. Howard, L.M. Fink, M. Waner, Infrared imaging of subcutaneous veins. Lasers Surg. Med. 34(1), 56–61 (2004)

    Article  Google Scholar 

  • W. Zuo, Z. Lin, Z. Guo, D. Zhang, The multiscale competitive code via sparse representation for palmprint verification, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (IEEE, 2010), pp. 2265–2272

    Google Scholar 

  • W. Zuo, F. Yue, K. Wang, D. Zhang, Multiscale competitive code for efficient palmprint recognition, in Proceedings of International Conference on Pattern Recognition (IEEE, 2008), pp. 1–4

    Google Scholar 

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Authors and Affiliations

  1. Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China

    David Zhang

  2. Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, Guangdong, China

    Yong Xu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Wangmeng Zuo

Authors
  1. David Zhang
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  2. Yong Xu
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  3. Wangmeng Zuo
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Corresponding authors

Correspondence to David Zhang , Yong Xu or Wangmeng Zuo .

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© 2016 Springer Science+Business Media Singapore

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Zhang, D., Xu, Y., Zuo, W. (2016). Fusion Methodologies of Multiple Traits. In: Discriminative Learning in Biometrics. Springer, Singapore. https://doi.org/10.1007/978-981-10-2056-8_9

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  • DOI: https://doi.org/10.1007/978-981-10-2056-8_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2055-1

  • Online ISBN: 978-981-10-2056-8

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