Title: " A Recent Study on Indian Number Plate Recognition Using Optical Character Recognition "

Page(s): 149-151
Authors: Ashwini Mhetre,Dhanashri Deosarkar,Priya Devkate,Prof. S.S.Pattanaik


Abstract— With the development of vehicles and the increasing number of cars in modern society, people pay more and more attention to the vehicle license plate recognition system. Vehicle license plate recognition is divided into three parts: license positioning, character segmentation and character recognition. One of the method is Automatic Number Plate Recognition (ANPR) is a real time embedded system which automatically recognizes the license number of vehicles. In this paper, with the help of this technique the task of recognizing number plate for Indian conditions is considered, where number plate standards are rarely followed. The propose architecture uses integration of algorithms like: ‘Feature-based number plate Localization’ for locating the number plate, ‘Image Scissoring’ for character segmentation and statistical feature extraction for character recognition; which are specifically designed for Indian number plates. As per the Indian number plate patterns by using this method and by implementing these algorithms in Java we can achieve to recognize one or two line number plate almost perfectly. And due to use of higher level language in this paper we can achieve more flexibility and security in implementing those algorithms. .

Keywords — Automatic license plate recognition (ALPR), automatic number plate recognition (ANPR), car plate recognition (CPR), and optical character recognition (OCR) for cars.