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Paper Abstract and Keywords
Presentation 2025-08-29 10:15
A Text Alignment System for Natural Reading Order in Complex Layout Documents
Makoto Sato, Teppei Miura (NITTC) WIT2025-6
Abstract (in Japanese) (See Japanese page) 
(in English) OCR technology has made remarkable progress in recent years, achieving very high recognition accuracy at the character and word levels. However, there has been little research on technologies for properly aligning strings in documents with complex layouts, such as newspapers and academic papers. In this study, we developed a system that classifies strings into components based on the coordinate information of characters output by Google Cloud Vision AI and aligns them in the order that humans naturally read. We evaluated the system using 100 newspaper articles, calculating both the overall text alignment accuracy and the component classification accuracy. The results showed that our system can align with higher accuracy than Vision AI when limited to articles with low alignment accuracy. We identified misrecognition by Vision AI and the presence of layouts that cannot be determined solely from character coordinate information as causes of low accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) OCR / Newspaper / Reading Order / Google Cloud Vision AI / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 168, WIT2025-6, pp. 1-6, Aug. 2025.
Paper # WIT2025-6 
Date of Issue 2025-08-22 (WIT) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF WIT2025-6

Conference Information
Committee WIT  
Conference Date 2025-08-29 - 2025-08-29 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To WIT 
Conference Code 2025-08-WIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Text Alignment System for Natural Reading Order in Complex Layout Documents 
Sub Title (in English)  
Keyword(1) OCR  
Keyword(2) Newspaper  
Keyword(3) Reading Order  
Keyword(4) Google Cloud Vision AI  
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1st Author's Name Makoto Sato  
1st Author's Affiliation National Institute of Technology, Toyota College (NITTC)
2nd Author's Name Teppei Miura  
2nd Author's Affiliation National Institute of Technology, Toyota College (NITTC)
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Speaker Author-2 
Date Time 2025-08-29 10:15:00 
Presentation Time 30 minutes 
Registration for WIT 
Paper # WIT2025-6 
Volume (vol) vol.125 
Number (no) no.168 
Page pp.1-6 
#Pages 6 
Date of Issue 2025-08-22 (WIT) 

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