License plate detection using hereditary threshold determine method

Seiki Yoshimori, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

License plate recognition is very important in an automobile society. Also in it, since plate detection has big influence on subsequent number recognition, it is very important. However, it is very difficult to do it, because a background and a body color of cars are similar to that of the license plate. In this paper, we propose a new thresholds determination method in the various background by using the real-coded genetic algorithm (RGA). By using RGA, the most likely plate colors are decided under various light conditions. First, the average brightness Y values of images are calculated. Next, relationship between the Y value and the most likely plate color thresholds (upper and lower bounds) are obtained by RGA to estimate thresholds function by using the recursive least squares (RLS) algorithm. Finally, in order to show the effectiveness of the proposed method, we show simulation examples by using real images.

Original languageEnglish
Title of host publicationLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
EditorsV. Palade, R.J. Howlett, L. Jain
Pages585-593
Number of pages9
Volume2773 PART 1
Publication statusPublished - 2003
Externally publishedYes
Event7th International Conference, KES 2003 - Oxford, United Kingdom
Duration: 2003 Sep 32003 Sep 5

Other

Other7th International Conference, KES 2003
CountryUnited Kingdom
CityOxford
Period03/9/303/9/5

Fingerprint

Genetic algorithms
License plates (automobile)
Automobiles
Luminance
Railroad cars
Color

ASJC Scopus subject areas

  • Hardware and Architecture

Cite this

Yoshimori, S., Mitsukura, Y., Fukumi, M., & Akamatsu, N. (2003). License plate detection using hereditary threshold determine method. In V. Palade, R. J. Howlett, & L. Jain (Eds.), Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2773 PART 1, pp. 585-593)

License plate detection using hereditary threshold determine method. / Yoshimori, Seiki; Mitsukura, Yasue; Fukumi, Minoru; Akamatsu, Norio.

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). ed. / V. Palade; R.J. Howlett; L. Jain. Vol. 2773 PART 1 2003. p. 585-593.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yoshimori, S, Mitsukura, Y, Fukumi, M & Akamatsu, N 2003, License plate detection using hereditary threshold determine method. in V Palade, RJ Howlett & L Jain (eds), Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). vol. 2773 PART 1, pp. 585-593, 7th International Conference, KES 2003, Oxford, United Kingdom, 03/9/3.
Yoshimori S, Mitsukura Y, Fukumi M, Akamatsu N. License plate detection using hereditary threshold determine method. In Palade V, Howlett RJ, Jain L, editors, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). Vol. 2773 PART 1. 2003. p. 585-593
Yoshimori, Seiki ; Mitsukura, Yasue ; Fukumi, Minoru ; Akamatsu, Norio. / License plate detection using hereditary threshold determine method. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). editor / V. Palade ; R.J. Howlett ; L. Jain. Vol. 2773 PART 1 2003. pp. 585-593
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