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An Iris Location Algorithm Based on Gray Projection and Hough Transform

  • Baoju ZhangEmail author
  • Jingqi Fei
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)

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.

Keywords

Iris recognition Canny edge detection Binarization Grayscale projection Hough transform 

Notes

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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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Tianjin Key Laboratory of Wireless Mobile Communications and Power TransmissionTianjin Normal UniversityTianjinChina

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