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  • 标题:Iris feature extraction: a survey
  • 本地全文:下载
  • 作者:Adegoke, B. O. ; Omidiora, E. O ; Ojo, J. A.
  • 期刊名称:Computer Engineering and Intelligent Systems
  • 印刷版ISSN:2222-1727
  • 电子版ISSN:2222-2863
  • 出版年度:2013
  • 卷号:4
  • 期号:9
  • 页码:7-13
  • 语种:English
  • 出版社:International Institute for Science, Technology Education
  • 摘要:Biometric as a technology has been proved to be a reliable means of enforcing constraint in a security sensitiveenvironment. Among the biometric technologies, iris recognition system is highly accurate and reliable becauseof their stable characteristics throughout lifetime. Iris recognition is one of the biometric identification thatemploys pattern recognition technology with the use of high resolution camera. Iris recognition consist of manysections among which feature extraction is an important stage. Extraction of iris features is very important andmust be successfully carried out before iris signature is stored as a template. This paper gives a comprehensivereview of different fundamental iris feature extraction methods, and some other methods available in literatures.It also gives a summarised form of performance accuracy of available algorithms. This establishes a platform onwhich future research on iris feature extraction algorithm(s) as a component of iris recognition system can bebased.
  • 关键词:biometric authentication; false acceptance rate (FAR); false rejection rate (FRR); feature extraction;iris recognition system.
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