关键词: 离线签名识别, 动态特征, 网格特征, KNN分类器, 证据理论(D-S 理论)

Abstract: Abstract A off-line signature recognition method based on multi-features and evidence theory is introduced in this paper. Two effective features , pseudo dynamic feature and grid feature ,are selected by comparing the performance of features in off-line signature recognition. Then initial signature recognition result is done by two KNN classifiers. Next, the outputs from classifiers is used as evidence to get the final fusing result, which using a improved combined method based on evidence theory. Experiments show that this new recognition method is effective.

Key words: Off-line Signature Recognition, pseudo dynamic feature, grid feature, KNN Classifier, Evidence Theory(D-S Theory)