Historical documents are the precious historical materials.But they often suffer from damage caused by natural erosion and human factors,posing significant challenges for historical researchers.The study thoroughly analyzes the current research progress in historical archive image text restoration technology at home and abroad,designs a text restoration system architecture based on a deep learning framework.This architecture can effectively restore the text in historical archive images,and proposes a text restoration evaluation method based on OCR recognition,so as to provide a feasible technical path for the text restoration of historical archive images,and promote the further development of historical research.
维普
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