关键词: 签名识别, 特征提取, 保局投影, 支持向量机

Abstract: In view of the problems of feature extraction in off-line signature recognition，a new signature recognition based on Locality Preserving Projections（LPP） is proposed.Firstly，the shape features，pseudo dynamic features and texture features have been extracted in feature extraction.Then LPP is used to get more discriminant features and at last support vector machine classifier is used for classification.Experimental result shows that the method can not only reduce the dimension of the feature space but also advance the performance of the recognition.

Key words: signature recognition, feature extraction, locality preserving projections, support vector machine