Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (12): 161-164.

### Eye detection based on improved gray-level integration projection in polar coordinates

XIU Chunbo1，2, LU Shaolei1，2

1. 1.Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin Polytechnic University, Tianjin 300387, China
2.School of Electrical Engineering and Automation, Tianjin Polytechnic University, Tianjin 300387, China
• Online:2015-06-15 Published:2015-06-30

### 基于极坐标的改进灰度积分投影法的人眼检测

1. 1.天津工业大学 电工电能新技术天津市重点实验室，天津 300387
2.天津工业大学 电气工程与自动化学院，天津 300387

Abstract: Conventional gray-level integration projection can not detect the eyes in the rotating face image. In order to overcome this shortcoming, an improved gray-level integration projection method in the polar coordinates is proposed. Face regions are extracted from the image by the feature of skin color. Gray-level integration is projected to the polar angle in the face region to detect the angles of eyes. Pixels in the direction of eyes are projected to the horizontal direction to determine the position of eyes. The method can detect eyes from several different posture faces in the same image. A lot of simulation results show that the detection performance of the method has good robustness to the rotational variation of face. Thus, the method can expand the eye detection application of gray-level integration projection method.