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Four Slap Fingerprint Segmentation

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Intelligent Computing Theories and Applications (ICIC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7390))

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Abstract

This paper proposes an efficient segmentation algorithm to extract multiple fingerprints from a four slap fingerprint image. The proposed algorithm divides each slap image into non-overlapping square blocks and identifies foreground and background blocks using average pixel intensity in that block. Blocks are joined to find the foreground block’s connected components. Finally clusters containing finger-tips are selected using geometric characteristics of a finger. It has been tested on IITK four slap fingerprint database of 13380 four slap fingerprint images collected from 1115 subjects in 2 sessions. The algorithm has achieved segmentation accuracy of 98.8%.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Kanpur, Kanpur, 208016, India

    Nishant Singh, Aditya Nigam, Puneet Gupta & Phalguni Gupta

Authors
  1. Nishant Singh
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  2. Aditya Nigam
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  3. Puneet Gupta
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  4. Phalguni Gupta
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Machine Learning and Systems Biology Laboratory, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. Faculty of Computer and Information Sciences, Hosei University, 3-7-2, Kajino-Cho, Koganei-Shi, Japan

    Jianhua Ma

  3. School of Electrical Engineering, University of Ulsan, #7-413, San 29, Muger Dong, 680-749, Ulsan, South Korea

    Kang-Hyun Jo

  4. Department of Biotechnology, Indian Institute of Technology (IIT) Madras, 600 036, Chennai, Tamilnadu, India

    M. Michael Gromiha

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© 2012 Springer-Verlag Berlin Heidelberg

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Singh, N., Nigam, A., Gupta, P., Gupta, P. (2012). Four Slap Fingerprint Segmentation. In: Huang, DS., Ma, J., Jo, KH., Gromiha, M.M. (eds) Intelligent Computing Theories and Applications. ICIC 2012. Lecture Notes in Computer Science(), vol 7390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31576-3_84

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  • DOI: https://doi.org/10.1007/978-3-642-31576-3_84

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31575-6

  • Online ISBN: 978-3-642-31576-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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