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A Novel Iris Image Quality Evaluation Based on Coarse-to-Fine Method

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Biometric Recognition (CCBR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8232))

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Abstract

An effective image evaluation algorithm is vital for iris recognition system. This paper proposes a coarse-to-fine quality evaluation method to iris image. Five criterions are adopted in this paper, which are variance, gradient, edge strength, fuzzy entropy, information entropy, for iris image coarse evaluation. In fine quality evaluation phase, which mainly focus on evaluation of spatial location and effective regional. The experimental results show that our proposed method are able to meet the need of practical iris recognition system.

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References

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© 2013 Springer International Publishing Switzerland

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Chen, Y. et al. (2013). A Novel Iris Image Quality Evaluation Based on Coarse-to-Fine Method. In: Sun, Z., Shan, S., Yang, G., Zhou, J., Wang, Y., Yin, Y. (eds) Biometric Recognition. CCBR 2013. Lecture Notes in Computer Science, vol 8232. Springer, Cham. https://doi.org/10.1007/978-3-319-02961-0_44

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  • DOI: https://doi.org/10.1007/978-3-319-02961-0_44

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02960-3

  • Online ISBN: 978-3-319-02961-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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