signature=3ab4e5d15bd6fd8cc59e8718139e6f45,基于集成神经网络的离线手写签名鉴别方法

转载于 2021-05-30 15:19:55 发布

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为了辅助签名专家，开发了一种基于集成神经网络（INN）的离线中文签名验证系统。该系统由特征分布网络（FDN）、神经网络分类器（NNC）和决策融合网络（DFN）组成。每个签名都有其特定的分类器，并通过重构训练集来解决验证和识别问题。实验结果显示，该方法在签名验证中表现出色，能有效支持人类专家进行手写签名认证。

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摘要：

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.

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