选用支持向量机作为区分文本与非文本的分类器，支持向量机是在统计学习理论基础上发展起来的新一代学习算法，它在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势。-Use support vector machine as the distinction between text and non-text classifier, support vector machine is in statistical learning theory developed on the basis of

Gabor小波提取特征源码，支持向量量机作分类器，能用于掌纹，人脸，指纹识别。-Gabor wavelet feature extraction, and then use the support vector machine as classifier, can be used to palmprint, face, fingerprint identification.

支持向量机分类器，可以用于手写分类，车牌字符分类等-Support vector machine classifier

基于matlab的支持向量机多分类器train-Matlab-based support vector machine classifier train