Off-line Chinese signature authentication based on integrated neural networks

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Off-line Chinese signature authentication based on integrated neural networks

Received:2008-04-17 Revised:2008-06-11 Online:2008-10-01 Published:2008-10-01
Contact: Lei Zhang

基于集成神经网络的离线手写签名鉴别方法

张蕾陈笑蓉陈笑筑

贵州大学计算机科学与技术学院贵州大学计算机科学与技术学院贵州财经学院信息学院

通讯作者: 张蕾

Abstract

Abstract: To assist the signature specialists, the authentication system for offline Chinese signatures was developed based on a new Integrated Neural Network (INN), which was composed of the modules, namely Feature Distributed Network (FDN), Neutral Networks Classifier (NNC) and Decision Fusional Network (DFN). In the method, a specific classifier was created for each of the signatures，and both training sets were constructed to solve the verification and recognition problems. The proposed method yields satisfactory results on signature verification experiments, and can be used to support human experts to authenticate handwriting signature.

Key words: off-line signature authentication, evidence theory, Integration Neural Network (INN), fusion

摘要： 离线手写签名鉴别是一种基于生物特征的身份识别技术，利用集成神经网络对手写签名进行自动鉴别。该集成神经网络由特征分配网络、神经网络认证主体和决策融合识别网络三部分构成。通过为每个签名者构造独立的分类器，并分别为每个分类器构造认证、识别训练集，解决了离线签名的认证和识别问题。基于此方法的签名鉴别实验获得了比较满意的结果，可以用来辅助人类专家进行签名鉴别。

关键词: 离线签名鉴别, 证据理论, 集成神经网络, 融合

Lei Zhang CHEN Xiao-rong CHEN Xiao-zhu. Off-line Chinese signature authentication based on integrated neural networks[J]. Journal of Computer Applications.

张蕾陈笑蓉陈笑筑. 基于集成神经网络的离线手写签名鉴别方法[J]. 计算机应用.

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