@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}
}