19 December 2013 A robust eye detection method based on multi-neighborhood block with weight and SVM on gray image
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Proceedings Volume 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 90450Y (2013) https://doi.org/10.1117/12.2033168
Event: International Conference on Optical Instruments and Technology (OIT2013), 2013, Beijing, China
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.
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Liming Yan, Liming Yan, Xinzhu Sang, Xinzhu Sang, } "A robust eye detection method based on multi-neighborhood block with weight and SVM on gray image", 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; https://doi.org/10.1117/12.2033168
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