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Iris Cracks Detection Method Based on Minimum Local Gray Value and Dilating Window of Regional Mean Gray Value

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Biometric Recognition (CCBR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9428))

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Abstract

Iris crack has the characteristics of minimum local gray value and regional mean gray value. Its gray value is lower than those of the surrounding area and from the edge to the inside the gray value is shown a trend of decline gradually. A method is proposed based on Minimum local Gray value and Dilating Window of Regional Mean Gray value. The initial starting point of the dilating window is determined by the minimum local gray value, and the dilating windows is configured with the regional mean gray value, and the areas of iris cracks will be found. Thirdly, the iris crack is segmented at the area according to minimum local gray value again. Finally, the result is found with the connection and de-noising. Compared method with single minimum local gray value method and Gaussian filter method, this method has low misdetection rate and simple threshold selection, and can meet the expected requirement.

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Author information

Authors and Affiliations

  1. Visual Inspection Institute, Shenyang University of Technology, Shenyang, China

    Bo Zhang & Weiqi Yuan

  2. College of Computer Science and Technology, Shenyang University of Chemical Technology, Shenyang, China

    Bo Zhang

Authors
  1. Bo Zhang
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  2. Weiqi Yuan
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Corresponding author

Correspondence to Bo Zhang .

Editor information

Editors and Affiliations

  1. Civil Aviation University of China, Tianjin, China

    Jinfeng Yang

  2. and Technology, Tianjin Institute of Science, Tianjin, China

    Jucheng Yang

  3. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zhenan Sun

  4. Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

  5. Sun Yat-sen University, Guangzhou, China

    Weishi Zheng

  6. Tsinghua University, Beijing, China

    Jianjiang Feng

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© 2015 Springer International Publishing Switzerland

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Zhang, B., Yuan, W. (2015). Iris Cracks Detection Method Based on Minimum Local Gray Value and Dilating Window of Regional Mean Gray Value. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_42

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  • DOI: https://doi.org/10.1007/978-3-319-25417-3_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25416-6

  • Online ISBN: 978-3-319-25417-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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