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Asian Conference on Intelligent Information and Database Systems

ACIIDS 2017: Intelligent Information and Database Systems pp 266–275Cite as

A New Feature Extraction in Dorsal Hand Recognition by Chromatic Imaging

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10192))

Abstract

Biometric authentication is a trending topic in biometrics that increases the security of personal data. The clients effortlessly authenticate any kind of system, since the controllers, which could be one-time or continuous, stealthily validate the biometric characteristics. The enhancements could be used as the main authentication protocol or implemented as a second security layer. We therefore propose a dorsal hand recognition and validation procedure to increase the security of personal computers. The camera mounted on top a laptop monitor captures the hands on the keyboard and identifies the frames by adaptive chromatic method. Afterwards, new geometrical features are extracted as the key biometric traits to be analyzed in Levenberg-Marquardt based neural controller for validation.

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Acknowledgment

This work and the contribution were supported by project “SP/2017 - Smart Solutions for Ubiquitous Computing Environments” from University of Hradec Kralove. We are also grateful for the support of Ph.D. students of our team (Richard Cimler and Jan Trejbal) in consultations regarding application aspects.

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Authors and Affiliations

  1. Faculty of Informatics and Management, Center for Basic and Applied Research, University of Hradec Kralove, Rokitanskeho 62, 500 03, Hradec Kralove, Czech Republic

    Orcan Alpar & Ondrej Krejcar

Authors
  1. Orcan Alpar
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  2. Ondrej Krejcar
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Corresponding author

Correspondence to Ondrej Krejcar .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Satoshi Tojo

  3. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Le Minh Nguyen

  4. Wrocław University of Science and Technology, Wroclaw, Poland

    Bogdan Trawiński

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Alpar, O., Krejcar, O. (2017). A New Feature Extraction in Dorsal Hand Recognition by Chromatic Imaging. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10192. Springer, Cham. https://doi.org/10.1007/978-3-319-54430-4_26

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  • DOI: https://doi.org/10.1007/978-3-319-54430-4_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54429-8

  • Online ISBN: 978-3-319-54430-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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