A knowledge-based approach to Chinese archive document understanding

The Chinese archive document possesses special geometrical and logical properties due to its construction based upon rectangular field which contain either title strings or data strings related to some other titles. In this paper, we propose a knowledge-based approach to analyze the logical relation...

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Main Authors: Shih-Shien You, Gan-How Chang, Pao-Chung Chang, Bing-Shan Chien
Format: Conference Proceeding
Language:English
Subjects:
Character recognition
Data mining
Detectors
Graphics
Image segmentation
Intelligent structures
Intelligent systems
Laboratories
Seals
US Government
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Gan-How Chang
Pao-Chung Chang
Bing-Shan Chien
description The Chinese archive document possesses special geometrical and logical properties due to its construction based upon rectangular field which contain either title strings or data strings related to some other titles. In this paper, we propose a knowledge-based approach to analyze the logical relationship among the fields. After extracting the lines and fields of an archive document image, this procedure can identify fields as the title fields, the sub-title fields (if there exist such tree-structure logical relationship), and the corresponding data fields. This proposed approach enables us to achieve a better performance in information manipulation of archive documents.
doi_str_mv 10.1109/ICDAR.1995.601957
format conference_proceeding
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Character recognition
Data mining
Detectors
Graphics
Image segmentation
Intelligent structures
Intelligent systems
Laboratories
Seals
US Government
title A knowledge-based approach to Chinese archive document understanding
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