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Asian Conference on Intelligent Information and Database Systems

ACIIDS 2015: Intelligent Information and Database Systems pp 82–91Cite as

Detecting the Reference Point in Fingerprint Images with the Use of the High Curvature Points

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

Abstract

A new method for finding a reference point in fingerprints is presented in this paper. The method proposed in this study is based on the IPAN99 algorithm used to detect high curvature points on the contour of a graphical object. This algorithm was modified to detect high curvature points on friction ridges in order to allow locating a reference point on a fingerprint. The IPAN99 algorithm requires that the contour being analysed should have a thickness of one pixel, so each fingerprint was properly prepared before starting an analysis with the use of the IPAN99 algorithm. In order to assess the efficiency of the method, distances between the coordinates of reference points determined with the use of the proposed method and those indicated by an expert were compared. This method was compared with other algorithms for determination of reference points.

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Author information

Authors and Affiliations

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

    Rafał Doroz, Krzysztof Wrobel & Malgorzata Palys

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

Correspondence to Rafał Doroz .

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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Doroz, R., Wrobel, K., Palys, M. (2015). Detecting the Reference Point in Fingerprint Images with the Use of the High Curvature Points. 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_9

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  • DOI: https://doi.org/10.1007/978-3-319-15705-4_9

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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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