Using the Thresholds Function Method to Detect License Plates
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- Yoshimori Seiki
- Faculty and School of Engineering, The University of Tokushima
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- Mitsukura Yasue
- Faculty of Education, Okayama University
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- Fukumi Minoru
- Faculty and School of Engineering, The University of Tokushima
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- Akamatsu Norio
- Faculty and School of Engineering, The University of Tokushima
Bibliographic Information
- Other Title
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- しきい値関数を用いたナンバープレート検出手法
- イキチ カンスウ オ モチイタ ナンバー プレート ケンシュツ シュホウ
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Abstract
License plate recognition is very important technology for regulating an automobile society. However, doing so it is very difficult, because a background and a car surface color can be similar to that of the license plate. Furthermore, detecting license plates when cars are moving at a very high speed is difficult. In this paper, We propose a new method of extracting car license plates automatically by using a real-coded genetic algorithm (RGA). Using the proposed RGA, the most likely plate colors can be detected under various light conditions. First, the average brightness Y value of images are calculated. Next, the retation between the Y value and the most likely plate color thresholds upper and lower bounds are obtained with the RGA to estimate threshold equations. To prove the effectiveness of the proposed method, we describe simulations performed using real images.
Journal
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- The Journal of The Institute of Image Information and Television Engineers
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The Journal of The Institute of Image Information and Television Engineers 59 (1), 115-122, 2005
The Institute of Image Information and Television Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390001205098419456
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- NII Article ID
- 110006837420
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- NII Book ID
- AN10588970
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- ISSN
- 18816908
- 13426907
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- NDL BIB ID
- 7195992
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed
