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Multispectral Palmprint Recognition by Feature Level Fusion

  • Nan Luo
  • Zhenhua Guo
  • Gang Wu
  • Changjiang Song
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 128)

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.

Keywords

Recognition Accuracy Equal Error Rate Level Fusion False Acceptance Rate False Rejection Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Zhang, D.: Automated Biometrics – Technologies and Systems. Kluwer, Boston (2000)Google Scholar
  2. 2.
    Zhang, D., Kong, W., You, J., Wong, M.: Online palmprint identification. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(9), 1041–1050 (2003)CrossRefGoogle Scholar
  3. 3.
    Lu, G., Zhang, D., Wang, K.: Palmprint recognition using eigenpalms feature. Pattern Recognition Letters 24(9-10), 1463–1467 (2003)zbMATHCrossRefGoogle Scholar
  4. 4.
    Connie, T., Jin, A.T.B., Ong, M.G.K.: An automated palmprint recognition system. Image Vision Computing 23(5), 501–505 (2005)CrossRefGoogle Scholar
  5. 5.
    Han, C., Cheng, H., Lin, C., Fan, K.: Personal authentication using palm-print features. Pattern Recognition 36(2), 371–381 (2003)CrossRefGoogle Scholar
  6. 6.
    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)CrossRefGoogle Scholar
  7. 7.
    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)Google Scholar
  8. 8.
    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)Google Scholar
  9. 9.
    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)zbMATHCrossRefGoogle Scholar
  10. 10.
    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)Google Scholar
  11. 11.
    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)CrossRefGoogle Scholar
  12. 12.
    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)Google Scholar
  13. 13.
    Kong, A., Zhang, D.: Competitive coding scheme for palmprint verification. In: Proceeding of International Conference on Pattern Recognition, pp. 520–523 (2004)Google Scholar
  14. 14.

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Nan Luo
    • 1
  • Zhenhua Guo
    • 2
  • Gang Wu
    • 1
  • Changjiang Song
    • 1
  1. 1.The Institute of Automation of Heilongjiang Academy of SciencesHarbinChina
  2. 2.Graduate SchoolTsinghua UniversityShenzhenChina

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