关键词: 人脸检测, Haar型特征, 自举算法, 支持向量机, 像素置信度

Abstract: For there were some tough problems in face detection under various background in gray level images，like too time-consuming and high false positive rate，this paper developed an applicable cascade face detecting system.First part of the system adopted extended Haar-like features combined with AdaBoost algorithm，which made performance of classifying better than using original Haar-like features.Second part of the system adopted vision logic，a strategy from general to detail to sample images，and introduced the conception of front-right face image pixel confidence，and took Support Vector Machine as learnnig algorithm.This part ensured the good accuracy of the detection.This system perfomed well on real image test.This was an applicable face detecting system.

Key words: face detection, Haar-like feature, AdaBoost, Support Vector Machine（SVM）, pixel confidence