Harris Corner Detection for Eyes Detection in Facial Images

  • Navastara, Dini Adni (Department of Computer Engineering, Pusan National University) ;
  • Koo, Kyung-Mo (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 : 2013.05.22

Abstract

Nowadays, eyes detection is required and considered as the most important step in several applications, such as eye tracking, face identification and recognition, facial expression analysis and iris detection. This paper presents the eyes detection in facial images using Harris corner detection. Firstly, Haar-like features for face detection is used to detect a face region in an image. To separate the region of the eyes from a whole face region, the projection function is applied in this paper. At the last step, Harris corner detection is used to detect the eyes location. In experimental results, the eyes location on both grayscale and color facial images were detected accurately and effectively.

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