DocumentCode :
263926
Title :
Effective algorithms and methods for automatic number plate recognition
Author :
Beibut, Amirgaliyev ; Magzhan, Kairanbay ; Chingiz, Kenshimov
Author_Institution :
ABY Appl. Syst., Almaty, Kazakhstan
fYear :
2014
fDate :
15-17 Oct. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Nowadays, an automatic number plate recognition (ANPR) system is a key aspect in traffic congestion. This will help to minimize the different kind of violations on the road. Advanced systems for tracking and identifying stolen, unauthorized vehicles are based on automated number plate recognition technology. This paper´s main objectives are to review other methods and propose our own algorithm. A short review is performed on the various methods of number plate recognition algorithms. Further explanations of the proposed algorithm are illustrated in graphical forms to show how the algorithm works. This paper concluded with tests and evaluation results.
Keywords :
optical character recognition; road vehicles; traffic engineering computing; ANPR system; advanced system; automated number plate recognition technology; automatic number plate recognition system; number plate recognition algorithm; stolen unauthorized vehicle; traffic congestion; Character recognition; Image edge detection; Image segmentation; Licenses; Morphology; Optical character recognition software; Vehicles; Automatic number plate recognition; optical character recognition; plate area; segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on
Conference_Location :
Astana
Print_ISBN :
978-1-4799-4120-9
Type :
conf
DOI :
10.1109/ICAICT.2014.7035951
Filename :
7035951
Link To Document :
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