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International Conference on Intelligent Computing

ICIC 2007: Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues pp 1170–1181Cite as

Intelligent Computing for Automated Biometrics, Criminal and Forensic Applications

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4681))

Abstract

In many cases human identification biometrics systems are motivated by real-life criminal and forensic applications. Some methods, such as fingerprinting and face recognition, proved to be very efficient in computer vision based human recognition systems. In this paper we focus on novel methods of human identification motivated by the forensic and criminal practice. Our goal is to develop computer vision systems that would be used to identify humans on the basis of their lips, palm and ear images.

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Authors and Affiliations

  1. Image Processing Group, Institute of Telecommunications, University of Technology & Life Sciences, S. Kaliskiego 7, 85-791 Bydgoszcz, Poland

    Michał Choraś

Authors
  1. Michał Choraś
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Editor information

De-Shuang Huang Laurent Heutte Marco Loog

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© 2007 Springer Berlin Heidelberg

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Choraś, M. (2007). Intelligent Computing for Automated Biometrics, Criminal and Forensic Applications. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_119

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  • DOI: https://doi.org/10.1007/978-3-540-74171-8_119

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74170-1

  • Online ISBN: 978-3-540-74171-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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