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Human Ear Identification Based on Image Analysis

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Artificial Intelligence and Soft Computing - ICAISC 2004 (ICAISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

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Abstract

Biometrics identification methods proved to be very efficient, more natural and easy for users than traditional methods of human identification. The future of biometrics leads to passive physiological methods based on images of such parts of human body as face and ear. The article presents a novel geometrical method of feature extraction from human ear images in order to perform human identification.

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References

  1. Burge, M., Burger, W.: Ear Biometrics. Johannes Kepler University, Linz (1999)

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  2. Choraś, M.: Human Identification Based on Image Analysis - New Trends. In: Proc. Int. IEEE Workshop Signal Processing 2003, pp. 111–116 (2003)

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  3. Iannarelli, A.: Ear Identification. Forensic Identification Series. Paramont Publishing Company, California (1989)

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  4. Safar, M., Shahabi, C., Sun, X.: Image Retrieval By Shape: A Comparative Study, University of Southern California (November 1999)

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Author information

Authors and Affiliations

  1. Faculty of Telecommunications & Electrical Engineering, University of Technology & Agriculture, S. Kaliskiego 7, 85-791, Bydgoszcz

    Michał Choraś

Authors
  1. Michał Choraś
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA

    Lotfi A. Zadeh

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© 2004 Springer-Verlag Berlin Heidelberg

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Choraś, M. (2004). Human Ear Identification Based on Image Analysis. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_105

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_105

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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