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Volume & Issue no: Volume 3, Issue 9, September 2014


Methods of Automatic License Plate Recognition: A Review
Author Name:
Poonam SKolhe, GeetaSalunke
ABSTRACT Automatic vehicle number plate recognition is the most interesting and challenging research topic from past few years in India. In India, study indicates that the number of death toll in road accidents has gone up in recent past. Identificationofvehicle and its ownerwho violets traffic rules hasbecomevery important. This is necessary in order to maintaintraffic in control and to minimizing road accidents.Manually it is almost unmanageable to control thisprocess.Itishighly impossibletotracktheowner whoarebreakingthetrafficrulesandpunishthem.Thusbyautomatingthis process,we can catchthe realownerofdrivenvehicle andwith the help ofcomputerizedsystemwecanable tocatchthe currentactivitiesandlocate the license plate numberusingdifferentimage processing techniques. Thisautomatedsystemof recognizing and characterizingthelicense platenumberofmoving or stillvehicle is calledas a LicensePlateRecognition (LPR)systemorAutomaticNumberPlateRecognition (ANPR)system.This systemisconsistingoffourmainphasessuchasimage capturing, image preprocessing, character segmentationand characterrecognition.According to rules and regulations the license plate varies for country to country.It may vary informats and color.According to rules and regulations each country has their own ANPR system.RightnowthissystemisimplementedinUS,UK,Australia,Japanroadconditions, butyet to done realtimeworkforIndian road conditions.Inthispaperour objectiveistopresentthe reviewofdetailedprocessesand methodspresentedforLPRsystem. LPRsystemisbased completelyon real time imageprocessing. Keywords:- LicensePlate Recognition, LicensePlate,AutomaticNumber PlateRecognition, Imagecapturing, Imagepreprocessing, Character Segmentation, Character Recognition.
Cite this article:
Poonam SKolhe, GeetaSalunke , " Methods of Automatic License Plate Recognition: A Review" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 9, September 2014 , pp. 186-189 , ISSN 2319 - 4847.
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