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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

Image processing Pattern recognition Biometrics

Author Community:

  • [ 1 ] [Li, Yujian]College of Computer Science and Technology, Beijing University of Technology, Pingleyuan 100, Chaoyang District, China
  • [ 2 ] [Fu, Cuihua]College of Computer Science and Technology, Beijing University of Technology, Pingleyuan 100, Chaoyang District, China

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Source :

Year: 2007

Page: 506-510

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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