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作者:

Li Yujian (Li Yujian.) | Fu Cuihua (Fu Cuihua.)

收录:

CPCI-S

摘要:

Eyebrow is presented as a new biometric for personal identification. Based on feature strings which are extracted from eyebrow images, an eyebrow recognition method is described in detail and analyzed in experiments on a small eyebrow database taken from 32 persons. The results have shown that the presented method can reach the highest accuracies of 93.75% and 90.63% as well as the lowest accuracies of 87.50% and 81.25%, respectively, in two small-scale experiments. Since the recognition accuracies may be higher by improving the current method or introducing other ones, eyebrow is likely to work as a good biometric in the future.

关键词:

biometric eyebrow recognition feature string pattern recognition

作者机构:

  • [ 1 ] [Li Yujian]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing, Peoples R China
  • [ 2 ] [Fu Cuihua]Beijing Univ Technol, Coll Comp Sci & Technol, Beijing, Peoples R China

通讯作者信息:

  • 李玉鑑

    [Li Yujian]Beijing Univ Technol, Coll Comp Sci & Technol, Pingleyuan 100,Chaoyang Dist, Beijing, Peoples R China

电子邮件地址:

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来源 :

PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING

ISSN: 1482-7921

年份: 2007

页码: 506-510

语种: 英文

被引次数:

WoS核心集被引频次: 5

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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