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Proceedings Paper

A robust eye detection method based on multi-neighborhood block with weight and SVM on gray image
Author(s): Liming Yan; Xinzhu Sang
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Paper Abstract

Eye detection plays a vital role in intelligent recognition system. In this paper, a novel of robust and fast eye detection algorithm is proposed. The process of eye detection can be divided into two stages. Firstly, coarse eye candidates are extracted based on multi-neighborhood blocks with weight; Secondly, eye candidates validation is testified on support vector machine (SVM).Data from different face databases such as self-built, JAFFE, FERET are used to demonstrate the effectiveness and robustness of the proposed method.

Paper Details

Date Published: 19 December 2013
PDF: 9 pages
Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 90450Y (19 December 2013); doi: 10.1117/12.2033168
Show Author Affiliations
Liming Yan, Beijing Univ. of Posts and Telecommunications (China)
Xinzhu Sang, Beijing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 9045:
2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Xinggang Lin; Jesse Zheng, Editor(s)

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