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Iamge Data Recognition and Managing Method for Ancient Documents using Intelligent Recognition Library and Management Tool
Iamge Data Recognition and Managing Method for Ancient Documents using Intelligent Recognition Library and Management Tool
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机译：使用智能识别库和管理工具的古代文献图像数据识别和管理方法
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摘要
The present invention relates to a method for recognizing and processing old document image data using an intelligent recognition library and a management tool, comprising: a knowledge base management module comprising an image content DB, a character model DB, and a term DB having a plurality of image content information as a management tool; ; An intelligent recognition library comprising an image preprocessing module and a structure analysis module for reproducing image content information using information of the knowledge base management module and providing the reproduced image content information to a document image recognition and processing unit; A document image recognition and processing unit for performing a preprocessing and initial analysis step, a physical layout analysis step, a document content structure analysis step, and a document recognition step; Recognizing and processing old document image data using an intelligent recognition library and a management tool, the document image recognition and processing unit, a knowledge base management module, and an intelligent recognition library and a user screen (UI) for communicating with a user. It is about a method.;In addition, the present invention provides a knowledge base having a plurality of image content information related to the old document to manually input the index word corresponding to the content of each old document when constructing an index DB for providing information retrieval and image search service of the old document with the image data It is effective to solve the conventional problems by providing an intelligent recognition library that configures a management module and efficiently manages information for text data of the imaged old documents inputted using the information provided by the knowledge base management module. have.;Full-text search, image archive, text archive, database, library, image content DB, character model DB, term DB, character recognition
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