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Palmprint Identification Using PCA Algorithm and Hierarchical Neural Network

  • Conference paper
Life System Modeling and Intelligent Computing (ICSEE 2010, LSMS 2010)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 6330))

Abstract

Palmprint-based personal identification, as a new member in the biometrics family, has become an active research topic in recent years. The rich texture information of palmprint offers one of the powerful means in the field of personal recognition. In this paper, a novel approach for handprint identification is proposed. Firstly, region of interest is segmented through hand’s key points localization, then PCA algorithm is used to extract the palmprint features. A hierarchical neural network structure is employed to measure the degree of similarity in the identification stage. Experimental results show that the designed system achieves an acceptable level of performance.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, YiLi Normal Colleg, Yining, China, 835000

    Ling Lin

Authors
  1. Ling Lin
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Editor information

Editors and Affiliations

  1. Electrical Engineering and Computer Science, The Queen’s University Belfast, Ashby Building, Stranmillis Road, BT9 5AH, Belfast, UK

    Kang Li

  2. School of Mechatronical Engineering and Automation, Shanghai University, P.O.Box 183, 200072, Shanghai, China

    Li Jia , Xin Sun  & Minrui Fei ,  & 

  3. School of Electronics, Electrical Engineering and Computer Science, The Queen’s University Belfast, Ashby Building, Stranmillis Road, BT9 5AH, Belfast, UK

    George W. Irwin

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© 2010 Springer-Verlag Berlin Heidelberg

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Lin, L. (2010). Palmprint Identification Using PCA Algorithm and Hierarchical Neural Network. In: Li, K., Jia, L., Sun, X., Fei, M., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science(), vol 6330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15615-1_73

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  • DOI: https://doi.org/10.1007/978-3-642-15615-1_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15614-4

  • Online ISBN: 978-3-642-15615-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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