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Automatic Number Plate Recognition System for Vehicle Identification Using Improved Segmentation

Author(s):

Poonam Suresh Kshirsagar , Shri Gulabrao Deokar College of Engineering, Jalgaon,India; Prof. R R Karhe, Shri Gulabrao Deokar College of Engineering, Jalgaon,India; Prof . C S Patil, Shri Gulabrao Deokar College of Engineering, Jalgaon,India

Keywords:

Vehicle Plate Recognition, Plate Extraction, Segmentation, Optical Character Recognition

Abstract

An exponential increase in number of vehicles demands the use of automated systems to retain vehicle information. The information is highly required for both control of traffic as well as cutback of crime. Automatic Number plate recognition is an image processing technology and can be successfully used for automatic vehicle identification. The objective is to design a robust method for automatic detection of authorized vehicle number plate. The system can be implemented for safe parking management in Parliament, Supreme Court, buildings and other parking lots etc. This System used captured vehicle images and extracts the number from license plate. The system is based on a combination of thresolding, labeling, filling up the holes approach method and region props technique with area criteria test for the number plate localization. The character recognition was accomplished with the help of optical characters by the process of Template matching. We mainly concrete on four steps: one is to locate the number plate, second is to segment all the number and to identify each number separately, third is distinguish each character and the resulting data is then used to compare with the records on a database so as to come up with the precise information of the owner such as place of registration and owner name etc which is used to check the authenticity.

Other Details

Paper ID: IJSRDV4I50761
Published in: Volume : 4, Issue : 5
Publication Date: 01/08/2016
Page(s): 1381-1385

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