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  • 标题:An Image Based Approach of Iris Recognition for Person Identification using Segmentation Algorithm
  • 本地全文:下载
  • 作者:Prajakta Patil ; Chetan Shelke
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2016
  • 卷号:4
  • 期号:3
  • 页码:2978
  • DOI:10.15680/IJIRCCE.2016.0403014
  • 出版社:S&S Publications
  • 摘要:In today's diplomatic environment, for personal authentication, iris recognition is the most attentive technique among the various biometric techniques. In iris recognition systems, when capturing an iris image under unconstrained conditions and without u ser cooperation, the image condition can be highly degraded by poor focus, off - angle view, motion blur, secular reflection, and other artifacts. The noisy iris images increase the intra - individual variations, thus, markedly shorten recognition accuracy. In this paper first we present an overview of face recognition and discuss the methodology and its functioning. after that, we represent the most recent face recognition techniques listing their advantages and drawbacks. Some techniques specified here also i mprove the efficiency of face recognition under various illumination and expression condition of face images
  • 关键词:Iris Recognition; Iris Segmentation; Specular Reflection; Iris Obstructions
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