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  • 标题:Iris Recognition System
  • 本地全文:下载
  • 作者:Neha Kak ; Rishi Gupta ; Sanchit Mahajan
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2010
  • 卷号:1
  • 期号:1
  • DOI:10.14569/IJACSA.2010.010106
  • 出版社:Science and Information Society (SAI)
  • 摘要:In a biometric system a person is identified automatically by processing the unique features that are posed by the individual. Iris Recognition is regarded as the most reliable and accurate biometric identification system available. In Iris Recognition a person is identified by the iris which is the part of eye using pattern matching or image processing using concepts of neural networks. The aim is to identify a person in real time, with high efficiency and accuracy by analysing the random patters visible within the iris if an eye from some distance, by implementing modified Canny edge detector algorithm. The major applications of this technology so far have been: substituting for passports (automated international border crossing); aviation security and controlling access to restricted areas at airports; database access and computer login.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; iris recognition; biometric identification; pattern recognition; segmentation
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