A ROBUST EYE LOCALIZATION ALGORITHM FOR FACE RECOGNITION

The accuracy of face alignment affects greatly the performance of a face recognition system. Since the face alignment is usually conducted using eye positions, the algorithm for accurate eye localization is essential for the accurate face recognition. In this paper, an algorithm is proposed for eye...

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Bibliographic Details
Published in:Journal of electronics (China) 2008, Vol.25 (3), p.337-342
Main Authors: Zhang, Wencong, Li, Xin, Yao, Peng, Li, Bin, Zhuang, Zhenquan
Format: Article
Language:English
Subjects:
Electrical Engineering
Engineering
脸部识别技术
计算机技术
识别模式
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Summary:The accuracy of face alignment affects greatly the performance of a face recognition system. Since the face alignment is usually conducted using eye positions, the algorithm for accurate eye localization is essential for the accurate face recognition. In this paper, an algorithm is proposed for eye localization. First, the proper AdaBoost detection is adaptively trained to segment the region based on the special gray distribution in the region. After that, a fast radial symmetry operator is used to precisely locate the center of eyes. Experimental results show that the method can accurately locate the eyes, and it is robust to the variations of face poses, illuminations, expressions, and accessories.
ISSN:0217-9822
1993-0615
DOI:10.1007/s11767-006-0199-x