Eye detection algorithm base on area-blocks pairing and multi-angle template matching

Authors:
Wang Jian;Song Zhenzhen;Zhao Honglian;LiuBing LiuBing;Chen DeFeng
Affiliations:
Information Science and Engineering, Northeastern University, Shenyang, China;Information Science and Engineering, Northeastern University, Shenyang, China;Information Science and Engineering, Northeastern University, Shenyang, China;Information Science and Engineering, Northeastern University, Shenyang, China;Information Science and Engineering, Northeastern University, Shenyang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Year:
2009

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Abstract

A new approach of eye locating from facial images based on area-blocks pairing and multi-angle template is proposed. In this paper, we first get the face region using skin-color model and extract the edge of face region, then obtain the blocks of suspected eye areas by morphological processing. Last, we can locate the position of eyes accurately using area-blocks pairing and multi-angle template matching. This approach is steady for image-whirling. The experimental results have shown the effectiveness and the robustness of our proposed algorithm.