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  • 标题:Iris Matching Using SURF Algorithm
  • 本地全文:下载
  • 作者:Rana Saad Mohammed ; Nada Jasim Habeeb ; Ziad Mohammed Abood
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2016
  • 卷号:9
  • 期号:12
  • 页码:91
  • 出版社:SERSC
  • 摘要:Iris recognition is one of biometric techniques that provide fast and accurate for human identification. This paper studies four main types of iris (Jewel, flower, stream, and shaker). And also it studies a fast method using Speed Up Robust Features algorithm (SURF) for finding a match between original eye image and input eye image to the system with taking into account the speed of algorithm implementation and its compatibility with an iris scanner.
  • 关键词:Iris types; image; Biometrics; c;orrelation; extract of features
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