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Title

Eyes Location by Neural Network-based Face Segmentation

Author

Xiao-yi Feng

Citation

Vol. 6  No. 5  pp. 132-135

Abstract

This paper proposed a neural network-based face segmentation method for eyes location. After face is detected, it is segmented automatically by a competitive Hopfield neural network (CHNN) and the facial feature candidates such as eyes, eyebrows and mouth are obtained, and then eyes are located by facial features evaluation and validation, which is based on face’s geometrical structures. To enhance the difference between facial features and other face area, the color face image is converted into a color-ratio grey image before face segmentation. Experimental results show that the proposed system performs well.

Keywords

Competitive Hopfield neural network, Eyes location, Face segmentation, color-ratio image

URL

http://paper.ijcsns.org/07_book/200605/200605A19.pdf