An improved Malaysian automatic license plate recognition (M-ALPR) system using hybrid fuzzy in C++ environment

Citation

Thanin, Khairunnisa and Mashohor, Syamsiah and Al Faqheri, Wisam Salah (2009) An improved Malaysian automatic license plate recognition (M-ALPR) system using hybrid fuzzy in C++ environment. In: 2009 Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA 2009), 25-26 July 2009, Monash University, Sunway campus, Malaysia. (pp. 51-55).

Abstract

In this paper, an improved hybrid fuzzy technique (Fuzzy Logic and Template matching) for Malaysian Automatic License Plate Recognition (M-ALPR) system is proposed. The system is proposed to reduce the program complexity of the existing M-ALPR system and to decrease the processing time of recognizing Malaysian license plates. First, the algorithm to recognize the license plates is presented, by taking advantage of Matlab and C++ programming language benefits in order to increase system efficiency. Feature extraction using vertical line counter is introduced in this system. Later, with the help of OpenCV, the hybrid fuzzy technique is developed using the C++ language. Then, the comparison between these two implementations on M-ALPR system was reported. The improved system was tested on 740 samples images from real scene and the results show that the proposed improvement supports the accurateness and high speed processing of M-ALPR system.

Download File

Preview

Text (Abstract)
An improved Malaysian automatic license plate recognition (M-ALPR) system using hybrid fuzzy in C++ environment.pdf
Download (36kB) | Preview

Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/CITISIA.2009.5224241
Publisher:	IEEE
Keywords:	Hybrid fuzzy; Malaysian automatic license plate recognition (M-ALPR); C++
Depositing User:	Nabilah Mustapa
Date Deposited:	08 Jul 2019 03:43
Last Modified:	08 Jul 2019 03:43
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/CITISIA.2009.5224241
URI:	http://psasir.upm.edu.my/id/eprint/69683
Statistic Details:	View Download Statistic

Actions (login required)

View Item