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Paper Abstract and Keywords
Presentation 2020-12-18 10:45
CNN and 2D BLSTM for Local Feature Extraction in Handwritten Mathematical Expression Recognition
Kei Morizumi, Cuong Tuan Nguyen, Ikuko Shimizu, Masaki Nakagawa (TUAT) PRMU2020-56
Abstract (in Japanese) (See Japanese page) 
(in English) Descriptive questions in mathematics are effective to examine learners’ understanding, but marking handwritten answers are costly and time-consuming. Therefore, it is anticipated to automate marking them. Their recognition and clustering must be established. However, the performance even by the latest methods is not adequate. In this paper, we propose 2D BLSTM for feature extraction to improve their recognition rate. It is effective for extracting 2D context to improve the recognition rate by about 3.5. We also propose CTC training for further improving the feature extraction. It improves the recognition rate by about 5.5.
Keyword (in Japanese) (See Japanese page) 
(in English) Machine Learning / Mathematical expression recognition / CNN / BLSTM / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 300, PRMU2020-56, pp. 105-110, Dec. 2020.
Paper # PRMU2020-56 
Date of Issue 2020-12-10 (PRMU) 
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 PRMU2020-56

Conference Information
Committee PRMU  
Conference Date 2020-12-17 - 2020-12-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Transfer learning and few shot learning 
Paper Information
Registration To PRMU 
Conference Code 2020-12-PRMU 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) CNN and 2D BLSTM for Local Feature Extraction in Handwritten Mathematical Expression Recognition 
Sub Title (in English)  
Keyword(1) Machine Learning  
Keyword(2) Mathematical expression recognition  
Keyword(3) CNN  
Keyword(4) BLSTM  
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1st Author's Name Kei Morizumi  
1st Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
2nd Author's Name Cuong Tuan Nguyen  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Ikuko Shimizu  
3rd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
4th Author's Name Masaki Nakagawa  
4th Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
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Speaker Author-1 
Date Time 2020-12-18 10:45:00 
Presentation Time 15 minutes 
Registration for PRMU 
Paper # PRMU2020-56 
Volume (vol) vol.120 
Number (no) no.300 
Page pp.105-110 
#Pages 6 
Date of Issue 2020-12-10 (PRMU) 

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