关键词: 人眼检测, 支持向量机, 序贯最小优化

Abstract: Eye detection is very important in face recognition .Eye detection on complicated environment is easily to affect by illumination and the posture of people.For solve the eye detection problem on complicated environment， in this paper a method of eye detection based on SVM is put forward.First，using gradation-rization balance and minor wave varies on the eye samples，and taking the result to the form of vector.This algorithm uses SMO method training the eye samples，which come from different people in complex background，and gets SV result.Then uses SVM for image detection，finally，it completes the windows merge.The experimental result indicates that，this algorithm has the common adaptability and validity to each kind of complex environment under including the human eye image.

Key words: eye-detection, Support Vector Machine（SVM）, Sequential Minimal Optimization（SMO）