A REVIEW REPORT ON LOCALIZATION OF LICENSE NUMBER PLATE USING PROCESSING OF ACTIVE IMAGE AND GENETIC ALGORITHMS TECHNIQUE
Abstract: License plate recognition techniques have been successfully applied to the management of stolen cars, management of parking lots and traffic flow control. This study proposes a license plate based strategy for checking the annual inspection standing of motorcycles from images taken on the wayside and at selected inspection stations. Both a UMPC (Ultra Mobile Personal Computer) with a web camera and a desktop computer are used as hardware platforms in this paper a survey is being carried out in the field of Automatic license plate localization. Automatic license plate recognition (ALPR) is to extract vehicle license plate information from an image or a sequence of images. The extracted info can be used with or without a database in many applications like electronic payment systems, freeway and specific road observation systems for traffic surveillance.
Keywords: Genetic algorithms, image processing, image representations, license plate detection, Machine vision, road vehicle identification.
How to Cite:
[1] Ritika Joshi, Deepak Kourav, “A REVIEW REPORT ON LOCALIZATION OF LICENSE NUMBER PLATE USING PROCESSING OF ACTIVE IMAGE AND GENETIC ALGORITHMS TECHNIQUE,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2017.4125
