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文章基本信息

  • 标题:A Novel and Efficient Feature Extraction Method for Iris Recognition
  • 本地全文:下载
  • 作者:Ko, Jong-Gook ; Gil, Youn-Hee ; Yoo, Jang-Hee
  • 期刊名称:ETRI Journal
  • 印刷版ISSN:1225-6463
  • 电子版ISSN:2233-7326
  • 出版年度:2007
  • 卷号:29
  • 期号:3
  • 页码:399-401
  • 语种:English
  • 出版社:Electronics and Telecommunications Research Institute
  • 摘要:With a growing emphasis on human identification, iris recognition has recently received increasing attention. Iris recognition includes eye imaging, iris segmentation, verification, and so on. In this letter, we propose a novel and efficient iris recognition method which employs a cumulative-sum-based grey change analysis. Experimental results demonstrate that the proposed method can be used for human identification in efficient manner.
  • 关键词:Biometrics;iris recognition
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