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A Feature Extraction Method for Personal Identification System

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

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Abstract

Recently in the world, many researches for individual identification method using biometrics are widely done. Especially, personal identification using faces are used because of needless for physical contact. However, when the number of registrant of a system increase, the recognition accuracy of system will get worse certainly. Therefore, in order to improve the recognition accuracy, it is necessary to extract the feature area effectively for getting the high recognition accuracy. In this paper, we analyze and examine about the individual feature in a face using the GA and the SPCA. Thus, by removing the area which is not valuable, we think that recognition accuracy becomes high. Then, in order to show the effectiveness of the proposed method, we show computer simulations by using real image.

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Author information

Authors and Affiliations

  1. The University of Tokushima, 2-1 Minami-Josanjima, Tokushima, 770-8506, Japan

    Hironori Takimoto, Minoru Fukumi & Norio Akamatsu

  2. Okayama University, 3-1-1 Tsushima, Okayama, 700-8530l, Japan

    Yasue Mitsukura

Authors
  1. Hironori Takimoto
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  2. Yasue Mitsukura
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  3. Minoru Fukumi
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  4. Norio Akamatsu
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Takimoto, H., Mitsukura, Y., Fukumi, M., Akamatsu, N. (2003). A Feature Extraction Method for Personal Identification System. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_82

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_82

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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