Ancient character detection, identification and retrieval system based on deep neural network

Abstract

The invention provides an ancient character detection, identification and retrieval system based on a deep neural network. Finally, the detection, the identification and the convenient retrieval of ancient character information can be realized more accurately in a plurality of application scenes. The whole system is divided into a developer module group, a user module group and a demonstration control module from the overall structure, and the developer module group, the user module group and the demonstration control module comprise a frame labeling module based on pre-detection, an identification labeling module based on pre-identification, a database storage module, a detector and an identifier training module. The system is divided into an ancient character retrieval module based on amachine code, an ancient character retrieval module based on handwriting, a glyph retrieval module based on image content, and a whole image detection and recognition module. And the demonstration control module shields or starts the cache data of a part of currently performed functions according to the demonstration requirements of the user.

Description

technical field [0001] The invention belongs to the field of ancient character detection and recognition, and in particular relates to a deep neural network-based ancient character detection, recognition and retrieval system. Background technique [0002] Ancient characters are ancient characters that emerged with the changes of history. For example, in ancient China, oracle bone inscriptions, bronze inscriptions, etc. appeared. These characters are far away from this year, and they have brought some difficulties and challenges to expert research and public identification. . [0003] In order to bridge the gap between ancient characters and modern people's understanding and provide convenience for scientific research, the detection, classification and recognition of ancient characters based on machine learning and computer vision has become more and more important; at the same time, based on the detection, classification and recognition work The advanced ancient text retrie...

AI Technical Summary

Problems solved by technology

[0004] However, most of the ancient text research work based on machine learning is mostly concentrated in the field of recognition, that is, to recognize the artificially segmented ancient text image blocks, and this segmentation work requires a lot of experience to be completed by people with certain ancient text skills.

[0005] In addition, the recognition of most ancient characters is limited to a certain font, such as oracle bone inscription recognition, golden inscription recognition, etc., and for recognition tasks that mix multiple fonts (such as oracle bone inscriptions or golden inscriptions with modern text annotations next to pictures) , it is difficult to ensure both accuracy and efficiency

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