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An Application for Singular Point Location in Fingerprint Classification

  • Conference paper
Digital Information Processing and Communications (ICDIPC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 188))

Abstract

Singular Point (SP) is one of the local fingerprint features, and it is used as a landmark due its scale and rotation immutability. SP characteristics have been widely used as a feature vector for many fingerprint classification approaches. This paper introduces a new application of singular point location in fingerprint classification by considering it as a reference point to the partitioning process in the proposed pattern-based classification algorithm. The key idea of the proposed classification method is dividing fingerprint into small sub images using SP location, and then, creating distinguished patterns for each class using frequency domain representation for each sub-image. The performance evaluation of the SP detection and the proposed algorithm with different database sub-sets focused on both the processing time and the classification accuracy as key issues of any classification approach. The experimental work shows the superiority of using singular point location with the proposed classification algorithm. The achieved classification accuracy over FVC2002 database subsets is up to 91.4% with considerable processing time and robustness to scale, shift, and rotation conditions.

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Author information

Authors and Affiliations

  1. Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan

    Ali Ismail Awad

  2. Research and Development Division, Kyushu University Library, Japan

    Kensuke Baba

Authors
  1. Ali Ismail Awad
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  2. Kensuke Baba
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Editors and Affiliations

  1. Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, VŠB-TUO, 17. listopadu 15, 708 33, Ostrava-Poruba, Czech Republic

    Vaclav Snasel  & Jan Platos  & 

  2. Information Systems Department, King Saud University, 11543, Riyadh, Saudi Arabia

    Eyas El-Qawasmeh

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© 2011 Springer-Verlag Berlin Heidelberg

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Awad, A.I., Baba, K. (2011). An Application for Singular Point Location in Fingerprint Classification. In: Snasel, V., Platos, J., El-Qawasmeh, E. (eds) Digital Information Processing and Communications. ICDIPC 2011. Communications in Computer and Information Science, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22389-1_24

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  • DOI: https://doi.org/10.1007/978-3-642-22389-1_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22388-4

  • Online ISBN: 978-3-642-22389-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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