支持向量机技术在人脸识别考勤机上的应用

以人脸识别考勤机为硬件基础，在Vertex—Ⅱ平台下，通过从实时图像中识别出面部特征。该技术介绍了一个根据视频图像对面部特征进行识别实时的方法，并使用一个自动的面部特征跟踪方法对面部进行定位和特征抽取，提取的面部特征作为支持向量机分类器的输入。实验证明，该方法能够有效的提高考勤机对人脸的识别准确度。

The Application of Support Vector Machine Technology in Man's Face Recognition Attendance Machine

It used the man＇s face recognition as the hardware, and it recognised facial features from the real time image, in the Vertex - Ⅱ platform. The method of the recognition which recognised facial features on the basis of a video image was introduced, and an automatic facial feature tracking method were employed for localized face and extracted features, The facial feature displacements were used as input to a support vector machine （SVM） classifier. The result of experiment showed that the method effectively improve the attendance machine recognition of human faces accuracy.