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An Iris Location Algorithm Based on Gray Projection and Hough Transform

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

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Abstract

In order to improve the performance of the existing iris location algorithm, a transform algorithm based on gray projection and Hough is proposed. The algorithm uses the grayscale transformation of the binary image to obtain a graph of the gray projection. At the same time, according to the value of the peak or trough in the graph, the maximum radius of the circle is obtained. The result of experiment shows that: The algorithm can get the parameters needed in Hough transform, which greatly improves the speed and accuracy of iris positioning.

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Acknowledgments

This paper is supported by Natural Youth Science Foundation of China (61501326, 61401310), the National Natural Science Foundation of China (61731006) and Natural Science Foundation of China (61271411). It also supported by Tianjin Research Program of Application Foundation and Advanced Technology (15JCZDJC31500), and Tianjin Science Foundation (16JCYBJC16500). This work was also supported by the Tianjin Higher Education Creative Team Funds Program.

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Authors and Affiliations

  1. Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, 300387, China

    Baoju Zhang & Jingqi Fei

Authors
  1. Baoju Zhang
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  2. Jingqi Fei
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Corresponding author

Correspondence to Baoju Zhang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Zhang, B., Fei, J. (2020). An Iris Location Algorithm Based on Gray Projection and Hough Transform. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_157

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_157

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

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