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Performance Benchmarking of Different Binarization Techniques for Fingerprint-Based Biometric Authentication

  • Conference paper
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 226))

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Abstract

Fingerprint analysis is a well-known biometrics for person identification and authentication. Computer vision based fingerprint recognition systems follow different preprocessing steps among which binarization is one of the most important steps. In an attempt towards benchmarking different global and local binarization techniques, it has been found that for a set of sample images two or more techniques show identical performance in terms of successful authentication. However, the accuracy of a fingerprint recognition system varies with different binarization techniques used in the preprocessing step and the same cannot be enumerated in the objective measure of success or failure. This paper proposes a quantitative evaluation measure namely confidence score to be used for benchmarking of different binarization techniques in a more effective manner.

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Author information

Authors and Affiliations

  1. A.K.Choudhury School of Information Technology, University of Calcutta, Kolkata, India

    Soharab Hossain Shaikh

  2. Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland

    Khalid Saeed

  3. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Nabendu Chaki

Authors
  1. Soharab Hossain Shaikh
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  2. Khalid Saeed
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  3. Nabendu Chaki
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Corresponding author

Correspondence to Soharab Hossain Shaikh .

Editor information

Editors and Affiliations

  1. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Robert Burduk

  2. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Konrad Jackowski

  3. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Marek Kurzynski

  4. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St 27, Wroclaw, 50-370, Poland

    Michał Wozniak

  5. , Department of Systems and Computer, Wroclaw University of Technology, WybrzezeWyspianskiego St, Wroclaw, 50-370, Poland

    Andrzej Zolnierek

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Shaikh, S.H., Saeed, K., Chaki, N. (2013). Performance Benchmarking of Different Binarization Techniques for Fingerprint-Based Biometric Authentication. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_23

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  • DOI: https://doi.org/10.1007/978-3-319-00969-8_23

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00968-1

  • Online ISBN: 978-3-319-00969-8

  • eBook Packages: EngineeringEngineering (R0)

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