Implementation of Content Analysis System for Recognition of Journals Table of Contents

In this paper, we design the primary component, an automated segmentation method that extracts article titles, author names and page numbers from scanned image of a journal's table of contents. We expanded the method to five types of journal layout. An interactive tool was also developed with V...

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Bibliographic Details
Published inNinth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol. 2; pp. 1018 - 1022
Main Authors Young-Bin Kwon, Jaehwa Park
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
Algorithm design and analysis
Automatic control
Design engineering
Image analysis
Image recognition
Image segmentation
Libraries
Optical character recognition software
System testing
Text analysis
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Summary:In this paper, we design the primary component, an automated segmentation method that extracts article titles, author names and page numbers from scanned image of a journal's table of contents. We expanded the method to five types of journal layout. An interactive tool was also developed with Visual C++ to help the user manage the segmentation results, and manually control the table analysis. Its performance was tested over a panel of seventy images, which gather the most common types of layout encountered.
ISBN:0769528228
9780769528229
ISSN:1520-5363
2379-2140
DOI:10.1109/ICDAR.2007.4377069