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Presentation 2021-03-04 13:25
A Study of Product Identification System Using Optical Character Recognition
Shixi Chen, Nobuo Funabiki, Masaki Sakagami (Okayama Univ.), Takashi Toshida, Kohei Suga (Astrolab) LOIS2020-48
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, the optical character recognition (OCR) technology has been remarkably progressed due to the advancements of deep learning techniques. Besides, smartphones equipped with cameras have broadly spread among people around the world. As a result, the product identification from the product label photo using OCR becomes possible as the quick way to identify the product. However, the accuracy of OCR is still not 100%. Some characters are incorrectly recognized or missing in the recognition result, which must be considered for use. In this study, we propose a product identification system applying OCR of the label photo taken by a smart phone. The fuzzy search is adopted to improve the accuracy by finding the best-matching record in the database for the possibly incorrect key by OCR. Since this search takes inadmissibly long time when the database has a lot of records, we also propose the speedup method by limiting the matching records. For evaluations, we apply the proposal to 389 label photos. The results show that the CPU time is 15.39sec by the naïve search, and 0.99sec by the speedup one that limits the number of records to be searched into 0.24% of the naïve one, where the record hit rate is slightly reduced from 94.3% to 94.1%.
Keyword (in Japanese) (See Japanese page) 
(in English) product identification / OCR / fuzzy search / regular expression / partial word matching / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 417, LOIS2020-48, pp. 6-11, March 2021.
Paper # LOIS2020-48 
Date of Issue 2021-02-25 (LOIS) 
ISSN Online edition: ISSN 2432-6380
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 LOIS  
Conference Date 2021-03-04 - 2021-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2021-03-LOIS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Product Identification System Using Optical Character Recognition 
Sub Title (in English)  
Keyword(1) product identification  
Keyword(2) OCR  
Keyword(3) fuzzy search  
Keyword(4) regular expression  
Keyword(5) partial word matching  
1st Author's Name Shixi Chen  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Nobuo Funabiki  
2nd Author's Affiliation Okayama University (Okayama Univ.)
3rd Author's Name Masaki Sakagami  
3rd Author's Affiliation Okayama University (Okayama Univ.)
4th Author's Name Takashi Toshida  
4th Author's Affiliation Astrolab Inc. (Astrolab)
5th Author's Name Kohei Suga  
5th Author's Affiliation Astrolab Inc. (Astrolab)
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Speaker Author-1 
Date Time 2021-03-04 13:25:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2020-48 
Volume (vol) vol.120 
Number (no) no.417 
Page pp.6-11 
Date of Issue 2021-02-25 (LOIS) 

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