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Fingerprint Segmentation Using Histogram Thresholding

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Software Engineering and Knowledge Engineering: Theory and Practice

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 114))

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Abstract

Fingerprint segmentation is a crucial step in fingerprint recognition system, and determines the results of fingerprint analysis and recognition. In this paper, an approach for fingerprint segmentation based on histogram thresholding is presented. Experimental results show that proposed method can extract the fingerprint effectively and efficiently from original image.

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References

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Author information

Authors and Affiliations

  1. School of Computer Engineering, Huaihai Institute of Technology, Lianyungang, China

    Wenjuan Zhang & Jiayin Kang

Authors
  1. Wenjuan Zhang
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  2. Jiayin Kang
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Corresponding author

Correspondence to Wenjuan Zhang .

Editor information

Editors and Affiliations

  1. Hong Kong, China, People's Republic

    Yanwen Wu

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhang, W., Kang, J. (2012). Fingerprint Segmentation Using Histogram Thresholding. In: Wu, Y. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03718-4_11

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  • DOI: https://doi.org/10.1007/978-3-642-03718-4_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03717-7

  • Online ISBN: 978-3-642-03718-4

  • eBook Packages: EngineeringEngineering (R0)

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