Off-line signature recognition of neural network basd on fuzzy integral
Yao Kai-xue · Journal of Guizhou Normal University · 2008
In this paper,an effective method based on multiple neural networks fused by fuzzy integral is presented.Firstly,a set of preprocessing is used in signature images and several different features are extracted.Secondly,these features are applied to classify elementary recognition.Finally,the results of elemtary recognition are fused by fuzzy integral.The experiment results show that the method of signature recognition is more effective than single neural network.