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Quality Measures of Fingerprint Images

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Audio- and Video-Based Biometric Person Authentication (AVBPA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2091))

Abstract

In an automatic fingerprint identification system, it is desirable to estimate the image quality of the fingerprint image before it is processed for feature extraction. This helps in deciding on the type of image enhancements that are needed and in deciding on thresholds for the matcher in the case that dynamic thresholds are used. In this paper, we propose a Gabor-feature based method for determining the quality of the fingerprint images. An image is divided into Nw x w blocks. Gabor features of each block are computed first, then the standard deviation of the M Gabor features is used to determine the quality of this block. The results are compared with an existing model of quality estimation. Our analysis shows that our method can estimate the image quality accurately.

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References

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Author information

Authors and Affiliations

  1. School of Electrical and Electronic Engineering Nanyang Technological University, Singapore, 639798

    LinLin Shen, Alex Kot & WaiMun Koo

Authors
  1. LinLin Shen
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  2. Alex Kot
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  3. WaiMun Koo
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Editor information

Editors and Affiliations

  1. School of Information Science, Computer and Electrical Engineering, Halmstad University, P.O. Box 823, S-301 18, Halmstad, Sweden

    Josef Bigun  & Fabrizio Smeraldi  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Shen, L., Kot, A., Koo, W. (2001). Quality Measures of Fingerprint Images. In: Bigun, J., Smeraldi, F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45344-X_39

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  • DOI: https://doi.org/10.1007/3-540-45344-X_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42216-7

  • Online ISBN: 978-3-540-45344-4

  • eBook Packages: Springer Book Archive

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