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  • 标题:Hough Transform, SURF Technique For Automatic Iris Recognition
  • 本地全文:下载
  • 作者:Sonia Sangwan ; Reena Rani
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2015
  • 卷号:4
  • 期号:9
  • 页码:8648
  • DOI:10.15680/IJIRSET.2015.0409143
  • 出版社:S&S Publications
  • 摘要:In last decades human identification didn’t gained more attention. Ever increasing demand of internetcame with more advancements and security threats. The detection of an iris from a human eye is still critical step ininternet world. There are various existing wide areas where huge demand of biometric methods like medical diagnosis,immigration control, aviation security, bank & other financial transaction, access to defense organization etc. Thismanuscript introduces an alternative algorithm for automated biometric iris recognition where segmentation andmatching process implemented using Hough transform and SURF technique. CASIA images databases digitized ingrayscale use for this work, validated in MATLAB providing satisfactory results.
  • 关键词:Iris recognition; Segmentation; SURF; Normalization; Matching
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