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Proceedings Article

Robust iris recognition with region division

[+] Author Affiliations
Jonggeun Park, Chulhee Lee

Yonsei Univ. (South Korea)

Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, 161 (March 08, 2005); doi:10.1117/12.588038
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From Conference Volume 5672

  • Image Processing: Algorithms and Systems IV
  • Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian
  • San Jose, CA | January 17, 2005

abstract

In this paper, we propose an efficient and fast feature extraction method for iris recognition using the wavelet transform. A major problem of iris recognition is that noises such as the eyelid, eyebrow and glint may be included in iris images, and such noises adversely affect the performance of iris recognition systems. In order to solve these problems, we propose to divide the iris texture image into several sub-regions and apply the wavelet transform separately to each sub-region. Furthermore, we discard some sub-regions which have large differences to exclude potential noises. Experimental results show that the performance of the proposed method is comparable to that of the method using the Gabor transform and that region division noticeably improves recognition performance. It is further noted that the processing time of the proposed method is much faster than the Gabor transform.

© (2005) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Jonggeun Park and Chulhee Lee
"Robust iris recognition with region division", Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, 161 (March 08, 2005); doi:10.1117/12.588038; http://dx.doi.org/10.1117/12.588038


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