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Paper Abstract and Keywords
Presentation 2022-12-16 16:45
Training Kindai OCR with parallel textline images and self-attention feature distance-based loss
Le Duc Anh, Kitamoto Asanobu (Center for Open Data in the Humanities) PRMU2022-56
Abstract (in Japanese) (See Japanese page) 
(in English) The modern Japanese documents in late 19th and early 20th century are called Kindai documents and have great historic value for historians and experts in exploring social aspects, lifestyles, even weather in the previous era. It is time-consuming and labor-intensive work for making transcriptions for the documents. As the result, the training dataset is small and it is hard to enlarge the training dataset. In this research, we aim to enlarge small training set by parallel textline images. Parallel textline images contain a pair of original Kindai and current Japanese fonts. We propose a distance-based objective function to minimize the distance between the self-attention feature of parallel textline images. The experiments show that the proposed system improves 2.3% of CER to compare with a Transformer as a baseline Kindai OCR. Moreover, our proposed method provides a better discriminant of self-attention feature.
Keyword (in Japanese) (See Japanese page) 
(in English) Kindai OCR / self-attention feature distance-based loss / parallel textline images / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 314, PRMU2022-56, pp. 127-131, Dec. 2022.
Paper # PRMU2022-56 
Date of Issue 2022-12-08 (PRMU) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee PRMU  
Conference Date 2022-12-15 - 2022-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Toyama International Conference Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To PRMU 
Conference Code 2022-12-PRMU 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Training Kindai OCR with parallel textline images and self-attention feature distance-based loss 
Sub Title (in English)  
Keyword(1) Kindai OCR  
Keyword(2) self-attention feature distance-based loss  
Keyword(3) parallel textline images  
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1st Author's Name Le Duc Anh  
1st Author's Affiliation Center for Open Data in the Humanities (Center for Open Data in the Humanities)
2nd Author's Name Kitamoto Asanobu  
2nd Author's Affiliation Center for Open Data in the Humanities (Center for Open Data in the Humanities)
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Date Time 2022-12-16 16:45:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2022-56 
Volume (vol) vol.122 
Number (no) no.314 
Page pp.127-131 
#Pages
Date of Issue 2022-12-08 (PRMU) 


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