Robust iris recognition with region division

Jonggeun Park, Chulhee Lee

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Article number17
Pages (from-to)161-168
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 2005
EventProceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems IV - San Jose, CA, United States
Duration: 2005 Jan 172005 Jan 18

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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