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Visual Image Biometric Identification in Secure Urban Computing

  • Conference paper
Computer Applications for Bio-technology, Multimedia, and Ubiquitous City (BSBT 2012, MulGraB 2012, IUrC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 353))

Abstract

In this publication will be proposed a new technique of personal identification based on non-standard biometric patterns in the form of selected medical visualization. The proposed solutions will be illustrated on the example of using intelligent CPIAIS cognitive information systems for extraction an unique personal feature vector which next will be used for personal identity analysis. Such procedure will allow to support the identification processes based on several types of biometrics patterns, as well as using feature vector in cryptographic procedures. While image analysis a cognitive procedures will be based on hand layouts parameters, evaluated for particular persons during medical examination.

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Krakow, Poland

    Lidia Ogiela & Marek R. Ogiela

Authors
  1. Lidia Ogiela
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  2. Marek R. Ogiela
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Editor information

Editors and Affiliations

  1. GVSA and University of Tasmania, Hobart, TAS, Australia

    Tai-hoon Kim

  2. Dong Seoul University, Bokjeong-dong Sujeong-gu, 461-714, Seongnam-si, Gyeonggi-do, Korea

    Jeong-Jin Kang

  3. Department of Computer and Information Science, University of Michigan, 4901 Evergreen Road, 48128, Dearborn, MI, USA

    William I. Grosky

  4. Engineering and Electronics, Edinburgh University, King’s Buildings, Faraday, rm 3.101, Mayfield Road, EH9 3JL, Edinburgh, UK

    Tughrul Arslan

  5. College of Engineering & Computing, Florida International University, 33174, Miami, FL, USA

    Niki Pissinou

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© 2012 Springer-Verlag Berlin Heidelberg

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Ogiela, L., Ogiela, M.R. (2012). Visual Image Biometric Identification in Secure Urban Computing. In: Kim, Th., Kang, JJ., Grosky, W.I., Arslan, T., Pissinou, N. (eds) Computer Applications for Bio-technology, Multimedia, and Ubiquitous City. BSBT MulGraB IUrC 2012 2012 2012. Communications in Computer and Information Science, vol 353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35521-9_55

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  • DOI: https://doi.org/10.1007/978-3-642-35521-9_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35520-2

  • Online ISBN: 978-3-642-35521-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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