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Volume 2, Issue 3
Eye Location and Eye State Detection in Facial Images with Unconstrained Background

J. Info. Comput. Sci. , 2 (2007), pp. 209-214.

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  • Abstract
This paper presents an efficient approach to achieve fast and accurate eye states detection in still gray level images with unconstrained background. The structure of eye region is used as a robust cue to find eye pair candidates. Eyes are located by eye verification using SVMs. The eye contour information is used to detect whether eyes are open or closed after locating eyes. The proposed method is robust to deal with illumination changes, moderate rotations, glasses wearing and partial face occlusions. The proposed method is evaluated on the BioID face database and experimental results demonstrate its effectiveness.
  • Keywords

Eye location, Eye state detection, Binary template matching, SVM, Hough transform

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COPYRIGHT: © Global Science Press

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@Article{JICS-2-209, author = {}, title = {Eye Location and Eye State Detection in Facial Images with Unconstrained Background}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {2}, number = {3}, pages = {209--214}, abstract = { This paper presents an efficient approach to achieve fast and accurate eye states detection in still gray level images with unconstrained background. The structure of eye region is used as a robust cue to find eye pair candidates. Eyes are located by eye verification using SVMs. The eye contour information is used to detect whether eyes are open or closed after locating eyes. The proposed method is robust to deal with illumination changes, moderate rotations, glasses wearing and partial face occlusions. The proposed method is evaluated on the BioID face database and experimental results demonstrate its effectiveness. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22800.html} }
TY - JOUR T1 - Eye Location and Eye State Detection in Facial Images with Unconstrained Background AU - JO - Journal of Information and Computing Science VL - 3 SP - 209 EP - 214 PY - 2024 DA - 2024/01 SN - 2 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22800.html KW - Eye location, Eye state detection, Binary template matching, SVM, Hough transform AB - This paper presents an efficient approach to achieve fast and accurate eye states detection in still gray level images with unconstrained background. The structure of eye region is used as a robust cue to find eye pair candidates. Eyes are located by eye verification using SVMs. The eye contour information is used to detect whether eyes are open or closed after locating eyes. The proposed method is robust to deal with illumination changes, moderate rotations, glasses wearing and partial face occlusions. The proposed method is evaluated on the BioID face database and experimental results demonstrate its effectiveness.
. (2024). Eye Location and Eye State Detection in Facial Images with Unconstrained Background. Journal of Information and Computing Science. 2 (3). 209-214. doi:
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