关键词: 类哈尔特征, 肤色模型, 级联算法, 人眼检测

Abstract: Eye detection has been given wide attention and research in face expression recognition and computer vision field，but the recognition rate descends and the false positive rate increases sharply when processing images with complex background in most eye detection algorithms.This paper preprocesses the color face image using Ellipse skin model，and extracts skin area and non-skin area.The eye detection algorithm only concerns the skin area and because of this，the false positive rare descends.At the same time，the feature selection is very important for pattern classification algorithm，and this paper selects the Harr-like features to train the Adaboost classifier.Experiments have shown the validity.

Key words: Harr-like feature, Ellipse skin model, adaboost, eye detection