Edge Eigenface Weighted Hausdorff Distance for Face Recognition | Zendy

Huachun Tan | Zendy; Yujin Zhang | Zendy; Wuhong Wang | Zendy; Guangdong Feng | Zendy; Hui Xiong | Zendy; Jie Zhang | Zendy; Yong Li | Zendy

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Edge Eigenface Weighted Hausdorff Distance for Face Recognition

Author(s) -

Huachun Tan,

Yujin Zhang,

Wuhong Wang,

Guangdong Feng,

Hui Xiong,

Jie Zhang,

Yong Li

Publication year - 2011

Publication title -

international journal of computational intelligence systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.385

H-Index - 41

eISSN - 1875-6891

pISSN - 1875-6883

DOI - 10.1080/18756891.2011.9727894

Subject(s) - discriminative model , eigenface , pattern recognition (psychology) , facial recognition system , artificial intelligence , hausdorff distance , face (sociological concept) , weighting , computer science , enhanced data rates for gsm evolution , hausdorff space , mathematics , combinatorics , medicine , radiology , social science , sociology

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. © 2011 Copyright Taylor and Francis Group, LLC.

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