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

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 recognizin...

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Main Authors: Thanin, Khairunnisa, Mashohor, Syamsiah, Al Faqheri, Wisam Salah
Format: Conference or Workshop Item
Language:English
Published: IEEE 2009
Online Access:http://psasir.upm.edu.my/id/eprint/69683/
http://psasir.upm.edu.my/id/eprint/69683/1/An%20improved%20Malaysian%20automatic%20license%20plate%20recognition%20%28M-ALPR%29%20system%20using%20hybrid%20fuzzy%20in%20C%2B%2B%20environment.pdf
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author Thanin, Khairunnisa
Mashohor, Syamsiah
Al Faqheri, Wisam Salah
author_facet Thanin, Khairunnisa
Mashohor, Syamsiah
Al Faqheri, Wisam Salah
author_sort Thanin, Khairunnisa
building UPM Institutional Repository
collection Online Access
description 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.
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format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T11:42:17Z
publishDate 2009
publisher IEEE
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spelling upm-696832019-07-08T03:43:14Z http://psasir.upm.edu.my/id/eprint/69683/ An improved Malaysian automatic license plate recognition (M-ALPR) system using hybrid fuzzy in C++ environment Thanin, Khairunnisa Mashohor, Syamsiah Al Faqheri, Wisam Salah 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. IEEE 2009 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/69683/1/An%20improved%20Malaysian%20automatic%20license%20plate%20recognition%20%28M-ALPR%29%20system%20using%20hybrid%20fuzzy%20in%20C%2B%2B%20environment.pdf 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). 10.1109/CITISIA.2009.5224241
spellingShingle Thanin, Khairunnisa
Mashohor, Syamsiah
Al Faqheri, Wisam Salah
An improved Malaysian automatic license plate recognition (M-ALPR) system using hybrid fuzzy in C++ environment
title An improved Malaysian automatic license plate recognition (M-ALPR) system using hybrid fuzzy in C++ environment
title_full An improved Malaysian automatic license plate recognition (M-ALPR) system using hybrid fuzzy in C++ environment
title_fullStr An improved Malaysian automatic license plate recognition (M-ALPR) system using hybrid fuzzy in C++ environment
title_full_unstemmed An improved Malaysian automatic license plate recognition (M-ALPR) system using hybrid fuzzy in C++ environment
title_short An improved Malaysian automatic license plate recognition (M-ALPR) system using hybrid fuzzy in C++ environment
title_sort improved malaysian automatic license plate recognition (m-alpr) system using hybrid fuzzy in c++ environment
url http://psasir.upm.edu.my/id/eprint/69683/
http://psasir.upm.edu.my/id/eprint/69683/
http://psasir.upm.edu.my/id/eprint/69683/1/An%20improved%20Malaysian%20automatic%20license%20plate%20recognition%20%28M-ALPR%29%20system%20using%20hybrid%20fuzzy%20in%20C%2B%2B%20environment.pdf