A novel iris segmentation using radial-suppression edge detection

  • Authors:

  • Jing Huang;Xinge You;Yuan Yan Tang;Liang Du;Yuan Yuan

  • Affiliations:

  • Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China and Department of Computer Science, Hong Kong Baptist University, Kowloong ...;Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK

  • Venue:
  • Signal Processing
  • Year:
  • 2009

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Abstract

Iris segmentation is a key step in the iris recognition system. The conventional methods of iris segmentation are based on the assumption that the inner and outer boundaries of an iris can be taken as circles. The region of the iris is segmented by detecting the circular inner and outer boundaries. However, we investigate the iris boundaries in the CASIA-IrisV3 database, and find that the actual iris boundaries are not always circular. In order to solve this problem, a new approach for iris segmentation based on radial-suppression edge detection is proposed in this paper. In the radial-suppression edge detection, a non-separable wavelet transform is used to extract the wavelet transform modulus of the iris image. Then, a new method of radial non-maxima suppression is proposed to retain the annular edges and simultaneously remove the radial edges. Next, a thresholding operation is utilized to remove the isolated edges and produce the final binary edge map. Based on the binary edge map, a self-adaptive method of iris boundary detection is proposed to produce final iris boundaries. Experimental results demonstrate that the proposed iris segmentation is desirable.