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