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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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IEEE
2009
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| 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 |
| _version_ | 1848856477357309952 |
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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. |
| first_indexed | 2025-11-15T11:42:17Z |
| format | Conference or Workshop Item |
| id | upm-69683 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:42:17Z |
| publishDate | 2009 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |