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  • 标题:AN AUTOMATED SEGMENTATION OF HUMAN IRIS FOR BIOMETRIC IDENTIFICATION
  • 本地全文:下载
  • 作者:P. Kalavathi ; S. Naganandhini ; G. Sabari Durga
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2017
  • 卷号:8
  • 期号:3
  • 页码:395-399
  • 出版社:Engg Journals Publications
  • 摘要:Biometric system is used to identify, verify and analyze an individual with respect to theirphysiological and behavioral characteristics. Many applications like authentication endorse biometricsystems. These processes are exerted through the unique attributes of an individual such as finger prints,iris of eyes, speech, and voice and so on. Our proposed work is focused on segmenting iris from thehuman eye images. In this method, we have used canny edge detection method along with gradientmagnitudes to refine the edges on those images. This strategy enhanced our algorithm crucially and givesmore accurate and efficient segmentation of iris. Moreover, our proposed method is quantitatively andqualitatively evaluated by the Jaccard (J) and Dice (D) similarity using the expert segmented result withsegmented iris image of the proposed method.
  • 关键词:Biometric Identification; Iris Segmentation; Canny Edge Detecton; Gradient Method.
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