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Number Plate Recognition System Using Artificial Intelligence

Mohd Za'im, Abdul A'alim (2006) Number Plate Recognition System Using Artificial Intelligence. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

This report describes analysis, design and implementation of a system for recognition of number plate. The input to the system is a series of color images of a car, and output consists of the registration number of the number plate. Extraction of the desired information is done in three steps. First, the number plate is extracted from the original image, then the seven characters are isolated, and finally each character is identified. The algorithms were developed using a set of training images to settle all the steps. The final program is capable of extracting the desired information in a high percentage of the test images. This project develops by using MATLAB version 6.5.

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Artificial intelligence, Pattern recognition systems, Digital computer simulation
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Library > Final Year Project > FKEKK
Depositing User: Siti Syahirah Ab Rahim
Date Deposited: 14 Jun 2013 00:09
Last Modified: 28 May 2015 03:54
URI: http://digitalcollection.utem.edu.my/id/eprint/8101

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