Abstract: 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.

Key words: neural network, seal image, automatic recognition