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Volume 4, Issue 6, December 2011, Pages 1422 - 1429
Edge Eigenface Weighted Hausdorff Distance for Face Recognition
Authors
Huachun Tan, Yu-Jin Zhang, Wuhong Wang, Guangdong Feng, Hui Xiong, Jie Zhang, Yong Li
Corresponding Author
Huachun Tan
Received 20 July 2011, Accepted 25 November 2011, Available Online 1 December 2011.
- DOI
- 10.2991/ijcis.2011.4.6.37How to use a DOI?
- Keywords
- Face Recognition; Hausdorff Distance; Weighting Function; Eigenface.
- Abstract
The different face regions have different degrees of importance for face recognition. In previous Hausdorff distance (HD) measures, points are treated as same importance, or weight different points that calculated from gray domain. In this paper, a new weighting function of HD based on the eigenface from edge domain, which reflects the discriminative properties of face edge images effectively, is proposed for face recognition. Experiments show the proposed method outperforms previous HD measures.
- Copyright
- © 2011, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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Cite this article
TY - JOUR AU - Huachun Tan AU - Yu-Jin Zhang AU - Wuhong Wang AU - Guangdong Feng AU - Hui Xiong AU - Jie Zhang AU - Yong Li PY - 2011 DA - 2011/12/01 TI - Edge Eigenface Weighted Hausdorff Distance for Face Recognition JO - International Journal of Computational Intelligence Systems SP - 1422 EP - 1429 VL - 4 IS - 6 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2011.4.6.37 DO - 10.2991/ijcis.2011.4.6.37 ID - Tan2011 ER -