Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지

Iris recognition robust to noises

  • Kim, Jaemin (School of Electronic and Electrical Engineering, Hongik University) ;
  • Jungwoo Won (School of Electronic and Electrical Engineering, Hongik University) ;
  • Seongwon Cho (School of Electronic and Electrical Engineering, Hongik University)
  • Published : 2003.09.01
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Abstract

This paper describes a new iris recognition method using shift-invariant subbands. First an iris image is preprocessed to compensate the variation of the iris image. Then, the preprocessed iris image is decomposed into multiple subbands using a shift invariant wavelet transform. The best subband among them, which have rich information for various iris pattern and robust to noises, is selected for iris recognition. The quantized pixels of the best subband yield the feature representation. Experimentally, we show that the proposed method produced superb performance in iris recognition.

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