International Journal of Fuzzy Logic and Intelligent Systems

  • 제2권3호
  • /
  • Pages.227-230
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  • 2002
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Iris Segmentation and Recognition

  • Kim, Jae-Min (School of Electronics and Electrical Engineering, Hongik University) ;
  • Cho, Seong-Won (School of Electronics and Electrical Engineering, Hongik University)
  • 발행 : 2002.12.01
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초록

A new iris segmentation and recognition method is described. Combining a statistical classification and elastic boundary fitting, the iris is first segmented robustly and accurately. Once the iris is segmented, one-dimensional signals are computed in the iris and decomposed into multiple frequency bands. Each decomposed signal is approximated by a piecewise linear curve connecting a small set of node points. The node points represent features of each signal. The similarity measture between two iris images is the normalized cross-correlation coefficients between simplified signals.

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참고문헌

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