Human Face Detection Based on SOFM Neural Network

摘要：

This paper presented a new method of human face detection using Kohonen self-organized feature map (SOFM) neural network (NN). Presently, the human face detection based on the skin color is one of the main methods, but the most of color images include a lot of the skin-like information. Therefore, it is a difficult problem how to effectively extract the skin regions from the skin-like regions. The paper presented the detection method based on SOFM Neural Network to solve the problem. After nonlinear color clustering, skin regions can be roughly segmented from the skin-like regions, and then human face regions can be accurately located by the morphology and the human face features. The experimental results show that the method can accurately detect human face in static color images and has stronger robustness to various skin colors.

关键词： Human face detection SOFM NN Color clustering Morphology

作者: Yang Kun Zhu Hong Pan Ying-jie

作者单位: Institute of Information and Automation Engineering Xian University of Technology 5 South Jinhua Road, Xian Shaanxi, 710048 China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 1253-1257

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）