首页>成果

  • 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

[会议论文]

HMM based eyebrow recognition

分享
编辑 删除 报错

作者:

Yujian, Li (Yujian, Li.) | Xingli, Li (Xingli, Li.)

收录:

EI Scopus

摘要:

We study the problem of how to recognize a person only by his eyebrow based on Hidden Markov Models (HMM). By experiments on a small-scale eyebrow image database taken from 27 subjects, we show that our HMM-based eyebrow recognition method can achieve the highest accuracy of 92.6%, based on the relation of its accuracy to the number of observation symbols and that of states. Hence, we conclude that human eyebrow can work as a biometric with certain possibility and feasibility.

关键词:

Hidden Markov models Multimedia signal processing

作者机构:

  • [ 1 ] [Yujian, Li]College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Xingli, Li]College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China

通讯作者信息:

电子邮件地址:

查看成果更多字段

相关文章:

来源 :

年份: 2007

卷: 1

页码: 135-138

语种: 英文

被引次数:

WoS核心集被引频次:

SCOPUS被引频次: 14

近30日浏览量: 1

在线人数/总访问数:158/4728340
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司