English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 57023/90721 (63%)
造访人次 : 12429063      在线人数 : 77
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96842


    题名: An effective iris recognition system
    作者: Lin, Hsiau Wen;Lin, Hwei Jen;Li, Yue Sheng;Yang, Fu-Wen
    贡献者: 淡江大學資訊工程學系
    关键词: biometric recognition;iris recognition
    日期: 2014-02-01
    上传时间: 2014-03-13 16:03:37 (UTC+8)
    出版者: Bantul: Institute of Advanced Engineering and Science (I A E S)
    摘要: In this paper we propose an iris recognition system to distinguish the identity of a person using the rich iris texture feature. To effectively remove noise and precisely segment the stable iris region is a crucial stage prior to recognition. Most noises on iris images are caused by occlusion of eyelids or eyelashes in certain areas. In this paper, we propose an iris recognition system which precisely locates and segments iris regions. We extract the iris feature from a relatively reliable portion of the iris region using a DoG filter. Experimental results show that the proposed iris recognition system has satisfactory results in terms of time efficiency and recognition rate.
    關聯: TELKOMNIKA Indonesian Journal of Electrical Engineering 12(5), pp.3399-3406
    DOI: 10.11591/telkomnika.v12i4.4951
    显示于类别:[資訊工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML197检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈