Development of partial face recognition framework

H. F. Neo, C. C. Teo, Andrew B.J. Teoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper presents a new framework of face recognition system that utilizes partial information available from front face where the users are willing and able to provide for access control. It is especially useful for people where part of their face is scarred and defect thus need to be covered. Hence, either top part/eye region (people is wearing veil or mask) or bottom part of face (people is wearing sunglasses) will be recognized respectively. The partial face data are tested with Principle Component Analysis (PCA), Non-negative matrix factorization (NMF), Local NMF (LNMF) and Spatially Confined NMF (SFNMF). The experiment results show that our proposed framework is able to achieve recognition rate of 95.17% with r = 80 by using SFNMF for bottom face region. On the other hand, eye region achieves 95.12% with r = 10 by using LNMF.

Original languageEnglish
Title of host publicationProceedings - 2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010
Pages142-146
Number of pages5
DOIs
Publication statusPublished - 2010 Oct 28
Event2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010 - Sydney, NSW, Australia
Duration: 2010 Aug 72010 Aug 10

Publication series

NameProceedings - 2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010

Other

Other2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010
CountryAustralia
CitySydney, NSW
Period10/8/710/8/10

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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  • Cite this

    Neo, H. F., Teo, C. C., & Teoh, A. B. J. (2010). Development of partial face recognition framework. In Proceedings - 2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010 (pp. 142-146). [5576207] (Proceedings - 2010 7th International Conference on Computer Graphics, Imaging and Visualization, CGIV 2010). https://doi.org/10.1109/CGIV.2010.29