Comparison of Eyes Characteristics in Different Color Spaces

Eye characteristics are significant information in pattern recognition. They are widely applied in many fields, such as human-computer interaction, face recognition and 3D face modeling from 2D images. Generally, the eye information detection is Based on gray images. However, color images provide more information than gray images. According to different applications, choosing a suitable color space is very important. In this paper, several eye features are compared from the view point of different color spaces, such as RGB, HIS, HSV. And some experiments have been done in the three color spaces. The extraordinary bright area of pupil in the H channel of HSV color space is confirmed. Moreover, pupil center is detected and estimated using morphology processing method in H channel. The results show that eyes features are more obvious in the HSV space, and feature extraction is more convenient. Furthermore, the experimental analysis can provide reference for future research on eye characteristic recognition.