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A Novel Automated Hand-Based Personal Identification

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Combinatorial Image Analysis (IWCIA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4040))

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Abstract

A reliable and robust verification approach using hand-print features is presented in this paper. The characteristics of the proposed approach are that two hand-base features are employed, the palm-print and finger-print features. The system consists of two parts: a convenient device for hand-print image acquisition and an efficient algorithm for fast hand-print recognition. A robust and adaptive image coordinate system is defined to facilitate feature extraction. Discrete wavelet zero-crossing encoding scheme and 2-D Gabor filter is applied to hand-print feature extraction and representation. The experimental results demonstrate the effectiveness of the proposed system.

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References

  1. Lu, G., Zhang, D.: Palm-print recognition using eigenpalms features. Pattern recognition leters 24, 1463–1467 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  2. Wu, X., Zhang, D.: Fisherpalms based palm-print recognition. Pattern recognition letters 24, 2829–2838 (2003)

    Article  Google Scholar 

  3. Kong, W.K., Zhang, D.: Palm-print feature extraction using 2-D Gabor filters. Pattern recognition 36, 2339–2347 (2003)

    Article  Google Scholar 

  4. Li, W., Zhang, D., Xu, Z.: Palm-print identification by Fourier Transform. International Journal of Pattern Recognition and Artifical Intelligence 16(4), 417–432 (2003)

    Article  Google Scholar 

  5. You, J., Kong, W.K.: On hierarchical palm-print coding with multiple features for personal identification in large databases. IEEE Transactions on Circuits and Systems for Video Technology 14(2) (February 2004)

    Google Scholar 

  6. Zhang, D., Shu, W.: Two novel characteristics in palmprint verification: datum point invariance and line feature matching. Pattern Recognition 32, 691–702 (1999)

    Article  Google Scholar 

  7. Wu, X., Zhang, D.: Palm-print classification using principal lines. Pattern recognition 37, 1987–1998 (2004)

    Article  MATH  Google Scholar 

  8. Han, C.-C.: A hand-based personal authentication using a coarse-to-fine strategy. Image And Vision Computing 22, 909–918 (2004)

    Article  Google Scholar 

  9. Mallat, S., Zhong, S.: Characterization of signals from multiscale edges. IEEE Trans. Pattern Anal. Mach. Intell. 14(7), 710–732 (1992)

    Article  Google Scholar 

  10. Shen, D., Ip, H.H.S.: Discriminative wavelet shape descriptors for recognition of 2-D patterns. Pattern Recognition 32, 151–165 (1999)

    Article  Google Scholar 

  11. Sanchez-Avila, C., Sanchez-Reillo, R.: Two different approaches for iris recognition using Gabor filters and multiscale zero-crossing representation. Pattern Recognition 38, 231–240 (2005)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Computer School, Jilin University, Changchun, China

    Yinghua Lu

  2. Computer School, Northeast Normal University Changchun, China

    Yinghua Lu, Yuru Wang, Jun Kong & Longkui Jiang

  3. Key Laboratory for Applied Statistics of MOE, China

    Yuru Wang, Jun Kong & Longkui Jiang

Authors
  1. Yinghua Lu
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  2. Yuru Wang
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  3. Jun Kong
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  4. Longkui Jiang
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Editor information

Editors and Affiliations

  1. Institute for Transport Research, German-Aerospace Center (DLR), Rutherfordstr. 2, 12489, Berlin, Germany

    Ralf Reulke

  2. Fachbereich Mathematik, Universität Hamburg, Bundesstr. 55, 20146, Hamburg

    Ulrich Eckardt

  3. Dresden University of Technology,  

    Boris Flach

  4. Institut für Informatik, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099, Berlin, Germany

    Uwe Knauer

  5. FU Berlin, Arnimallee 3, 14195, Berlin, Germany

    Konrad Polthier

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© 2006 Springer-Verlag Berlin Heidelberg

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Lu, Y., Wang, Y., Kong, J., Jiang, L. (2006). A Novel Automated Hand-Based Personal Identification. In: Reulke, R., Eckardt, U., Flach, B., Knauer, U., Polthier, K. (eds) Combinatorial Image Analysis. IWCIA 2006. Lecture Notes in Computer Science, vol 4040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774938_32

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  • DOI: https://doi.org/10.1007/11774938_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35153-5

  • Online ISBN: 978-3-540-35154-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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