Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2013.10a
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- Pages.90-93
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- 2013
Pupil Detection using Multistage Adaptive Thresholding and Circular Hough Transform
- Navastara, Dini Adni (Department of Computer Engineering, Pusan National University) ;
- Park, Hyun-Jun (Department of Computer Engineering, Pusan National University) ;
- Cha, Eui-Young (Department of Computer Engineering, Pusan National University)
- Published : 2013.10.25
Abstract
This paper presents a multistage adaptive thresholding method and circular Hough transform for pupil detection. Multistage adaptive thresholding is a thresholding method that applies local image statistic within a neighborhood variable and the global thresholds. Therefore, the method can adopt the benefit of local thresholding and prevent an over segmentation at the same time because of the global image information. To detect a pupil, a circular Hough transform is applied to it in which the pupil pattern is considered as a circle shape. The experimental results show the reliability of our proposed method in detecting pupil properly.