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一种可供识别和溯源的印章图像核验系统 被引量:1

A Seal Image Verification System for Identification and Traceability
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摘要 针对现代企业实体印章的管理和印章图像核验过程中存在的问题,设计一款面向企业智能印章图像的管理和核验系统,多方位、全流程辅助管理和识别印章。该印章核验系统使用基于深度残差网络的章型识别方法,简化特征提取的过程,有较好的章型识别准确率;引入基于孪生神经网络的印章图像溯源方法,能够利用印章图像追溯到具体的某次盖章行为,从而判别印文的真伪性;同时建立智能印章的管控系统,通过系统管控智能印章并记录盖章行为。实验结果表明,该系统能基本满足移动端对智能印章的管控、识别、溯源要求,可提供良好的使用体验。 Aiming at the problems existing in the management of modern corporate seals and the verification of seal images,a management and verification system for corporate seal images is designed,which provides multi-faceted,full-process auxiliary management and identification of seals.The seal verification system uses a seal type recognition method based on ResNet,which simplifies the process of feature extraction and has a good recognition accuracy.Then a method of tracing seal images based on siamese neural network is introduced,which can be traced back to a specific seal image,so as to determine the authenticity of the seal.Also,a management and control system for smart seals has been established,through which the smart seals are controlled and the stamping behaviors are recorded.Experiments have proved that the system can meet the mobile terminalv’s requirements for management,control,identification and traceability of smart seals,and provides good user experience.
作者 蔡旖旎 陈正鸣 倪佳佳 CAI Yi-ni;CHEN Zheng-ming;NI Jia-jia(College of the IoT Engineering, Information Department, Hohai University, Changzhou 213022, China)
出处 《计算机与现代化》 2022年第5期102-107,共6页 Computer and Modernization
基金 国家自然科学基金资助项目(61772172)。
关键词 神经网络 印章印文 自动识别 neural network seal image automatic recognition
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