Off-line signature recognition based on multi-features and evidence theory
Anfei Liu · Computer Engineering and Applications Journal · 2007
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 output 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.