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Lip Print Recognition Method Using Bifurcations Analysis

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Intelligent Information and Database Systems (ACIIDS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9012))

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Abstract

The paper presents a method of automatic personal identification on the basis of an analysis of lip prints. The method is based on a new approach, in which each lip print is described by bifurcations. In order to extract bifurcations, a method for lip print pre-processing was proposed. The bifurcations obtained were compared with each other using the similarity coefficient developed for the needs of this study. The effectiveness of this coefficient was verified experimentally.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, ul. Bedzinska 39, 41-200, Sosnowiec, Poland

    Krzysztof Wrobel, Rafał Doroz & Malgorzata Palys

Authors
  1. Krzysztof Wrobel
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  2. Rafał Doroz
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  3. Malgorzata Palys
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Corresponding author

Correspondence to Krzysztof Wrobel .

Editor information

Editors and Affiliations

  1. Ton Duc Thang University, Ho Chi Minh city, Vietnam

    Ngoc Thanh Nguyen

  2. Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawiński

  3. Bina Nusantara University, Jakarta, Indonesia

    Raymond Kosala

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© 2015 Springer International Publishing Switzerland

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Wrobel, K., Doroz, R., Palys, M. (2015). Lip Print Recognition Method Using Bifurcations Analysis. In: Nguyen, N., Trawiński, B., Kosala, R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science(), vol 9012. Springer, Cham. https://doi.org/10.1007/978-3-319-15705-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-15705-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15704-7

  • Online ISBN: 978-3-319-15705-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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