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  • 标题:An Iris Localization Algorithm based on Geometric Features of the Circle
  • 本地全文:下载
  • 作者:Ming Fei Wang ; RuiYun Xie ; BenZhai Hai
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:7
  • 页码:1-8
  • DOI:10.14257/ijsip.2015.8.7.01
  • 出版社:SERSC
  • 摘要:An iris localization algorithm with the fast speed is proposed based on geometric features of the circle combing coarse localization with fine localization to avoid the problem of the slow speed of the classical iris localization algorithm. First, the row and column scanning method is employed to find four strings in the pupil. Four couples of tangency points are located by using the perpendicular bisector of strings and the threshold of the pupil boundary. The mean value of the coordinate parameters of the tangency points is regarded as the parameters for inner edge rough localization parameters. Then the calculus method is used for precise localization of the inner edge. The priori knowledge of the close distance between inner and outer edge centers of the circle is used to narrow the search range of the calculus method localizing outside edge, to significantly improving the speed of iris localization. The experimental results show that the proposed algorithm can improve the speed of iris localization with the high localizing accuracy.
  • 关键词:iris location; geometric feature of the circle; calculus method; Hough ; transform
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