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http://dx.doi.org/10.6109/JKIICE.2009.13.7.1429

Detection of Pupil using Template Matching Based on Genetic Algorithm in Facial Images  

Lee, Chan-Hee (동의대학교 디지털미디어공학과)
Jang, Kyung-Shik (동의대학교 멀티미디어공학과)
Abstract
In this paper, we propose a robust eye detection method using template matching based on genetic algorithm in the single facial image. The previous works for detecting pupil using genetic algorithm had a problem that the detection accuracy is influnced much by the initial population for it's random value. Therefore, their detection result is not consistent. In order to overcome this point we extract local minima in the facial image and generate initial populations using ones that have high fitness with a template. Each chromosome consists of geometrical informations for the template image. Eye position is detected by template matching. Experiment results verify that the proposed eye detection method improve the precision rate and high accuracy in the single facial image.
Keywords
얼굴인식;눈동자 검출;유전자 알고리즘;형판 정합;
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