基于模糊积分的神经网络离线签名识别  

Off-line signature recognition of neural network basd on fuzzy integral

作　　者：蒋佳志[1] 姚凯学[1] 

机构地区：[1]贵州大学计算机科学与技术学院,贵州贵阳550025

出　　处：《贵州师范大学学报（自然科学版）》2008年第3期87-90,共4页Journal of Guizhou Normal University：Natural Sciences

摘　　要：提出一种基于模糊积分融合方式的多神经网络离线签名识别方法。首先对签名图像进行一系列预处理,提取不同类型的特征,然后使用神经网络进行初分类,再用模糊积分进行融合。实验表明,该识别方法能够比单个神经网络有更好的签名识别效果。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.

关 键 词：神经网络 模糊积分 签名识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]