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Paper Abstract and Keywords
Presentation 2015-09-04 10:30
Modification of light intensity for image recognition using regression analysis
Hiroo Tsuji (Shiga Prefectural Police), Yohei Fukumizu, Takakuni Douseki, Hironori Yamauchi (Ritsumeikan Univ.), Ayumi Yoshikawa (Konan Univ.) SIS2015-25
Abstract (in Japanese) (See Japanese page) 
(in English) Various image recognition methods are proposed for reading the contents of the license plate in security cameras. In order to improve the image recognition accuracy, a technique for modification of light intensity in the license plate is important. In this paper, we propose a method for modification of light intensity using regression analysis. The proposed method controls the amount of modification by learning the parameters of the regression function from the luminance of the license plate image to adapt to changes in lighting conditions. The image obtained from the proposed method is the subtraction image which preserve image information so that the proposed method is effective in image contrast improvement. In this paper, we compared the proposed method with the Retinex-based image enhancement in respect of visual evaluation of the image quality and image recognition accuracy. As a result, the image contrast of the proposed method was higher than the image contrast of the Retinex-based method. Moreover, the image recognition accuracy of the proposed method was better than the image recognition accuracy of the Retinex-based method, and the difference of the fitness increase ratio between the proposed method and the Retinex-based method is about 11% on average.
Keyword (in Japanese) (See Japanese page) 
(in English) image enhancement / tone correction / luminosity compensation / regression analysis / image recognition / Retinex theory / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 208, SIS2015-25, pp. 63-68, Sept. 2015.
Paper # SIS2015-25 
Date of Issue 2015-08-27 (SIS) 
ISSN Print edition: ISSN 0913-5685    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 SIS2015-25

Conference Information
Committee SIS IPSJ-AVM  
Conference Date 2015-09-03 - 2015-09-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Kansai Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Smart Multimedia Systems, etc. 
Paper Information
Registration To SIS 
Conference Code 2015-09-SIS-AVM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Modification of light intensity for image recognition using regression analysis 
Sub Title (in English)  
Keyword(1) image enhancement  
Keyword(2) tone correction  
Keyword(3) luminosity compensation  
Keyword(4) regression analysis  
Keyword(5) image recognition  
Keyword(6) Retinex theory  
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Keyword(8)  
1st Author's Name Hiroo Tsuji  
1st Author's Affiliation Forensic Science Laboratory, Shiga Prefectural Police Headquarters (Shiga Prefectural Police)
2nd Author's Name Yohei Fukumizu  
2nd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
3rd Author's Name Takakuni Douseki  
3rd Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
4th Author's Name Hironori Yamauchi  
4th Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
5th Author's Name Ayumi Yoshikawa  
5th Author's Affiliation Konan University (Konan Univ.)
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Speaker Author-1 
Date Time 2015-09-04 10:30:00 
Presentation Time 20 minutes 
Registration for SIS 
Paper # SIS2015-25 
Volume (vol) vol.115 
Number (no) no.208 
Page pp.63-68 
#Pages 6 
Date of Issue 2015-08-27 (SIS) 

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