The week's pick
Reseach Article
Survey of Number Plate Recognition for Use in Different Countries using an Improved Segmentation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 102 - Number 11 |
| Year of Publication: 2014 |
| Authors: Neha Arora, Suricha Jain, Puran Gour |
10.5120/17863-8780
|
Neha Arora, Suricha Jain, Puran Gour . Survey of Number Plate Recognition for Use in Different Countries using an Improved Segmentation. International Journal of Computer Applications. 102, 11 ( September 2014), 47-50. DOI=10.5120/17863-8780
Abstract
Automatic Number Plate Recognition (ANPR) is a mass surveillance system that captures the image of vehicles and recognizes their license number. ANPR can be assisted in the revealing of stolen vehicles. The recognition of stolen vehicles can be done in an efficient manner by using the ANPR systems located in the highways. ANPR systems are very useful to the law enforcement agencies as the need for Radio Frequency Identification tags and similar equipments are minimized. Since number plate guidelines are not stringently practiced universally, it often becomes difficult to correctly identify the non-standard number plate characters. In this paper we try to deal with this problem of ANPR by using a pixel based segmentation algorithm of the alphanumeric characters in the license plate. It has considered the Indian number plates, where rear follows the number plate standard. This system consist of few algorithm like "Feature based number plate Localization" for locating the number plate, "Image Scissoring" technique for character segmentation and proposed algorithm for character recognition using Support Vector Machine. System can recognize single or double line number plate.
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