Offline Chinese signature verification system with information fusion
Yuanyuan Ding, Qinghu Chen, Jinsheng Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
At present, information fusion is widely used in object recognition and classfication, since this technique can efficiently improve the accuracy and the ability of fault tolerance. This paper presents a new method of information fusion system, which is used for offline Chinese signature verification. In the feature fusion process, different features are adopted to syncretize new features; in the report fusion process, the neural network is selected and used to adjust the weight. By comparing the experimental results of fault diagnoses based on fusion data with that on original separate data, it is shown that the former is more accurate than the latter.