Face recognition and unseen subject rejection in margin enhanced space

Ju Chin Chen, Shang You Shi, Jenn Jier James Lien

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

In this paper, we develop a face recognition system with a rejection mechanism for imposter or unseen subjects. In order to boost the recognition rate and provide the promising rejection accuracy, a margin-enhanced space is derived by reweighting the LSDA space via explicitly imposing the constraint of the k-NN classification rule. In this space, not only the local discriminant structure of data can be extracted but the enhanced pairwise distance can be used to model the acceptance and rejection likelihood probability. According to the Bayes decision rule, the unseen subject can be rejected if the likelihood ratio is smaller than the estimated threshold. Note that the rejection performance based on the likelihood ratio is more tolerable than the pre-defined distance only. Experimental results show that the proposed system not only yields the higher recognition rate than other subspace learning methods but also provides the promising rejection accuracy on the challenging databases of various lighting conditions and facial expression.

原文English
主出版物標題2010 International Conference on System Science and Engineering, ICSSE 2010
頁面631-636
頁數6
DOIs
出版狀態Published - 2010 十月 11
事件2010 International Conference on System Science and Engineering, ICSSE 2010 - Taipei, Taiwan
持續時間: 2010 七月 12010 七月 3

出版系列

名字2010 International Conference on System Science and Engineering, ICSSE 2010

Other

Other2010 International Conference on System Science and Engineering, ICSSE 2010
國家Taiwan
城市Taipei
期間10-07-0110-07-03

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering

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