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A real-time Malaysian automatic license plate recognition (M-ALPR) using hybrid fuzzy

The Road Transport Department of Malaysia has endorsed a specification for car plates that includes the font and size of characters that must be followed by car owners. However, there are cases where this specification is not followed. This paper proposes a new methodology to segment and recogniz...

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Main Authors: Al Faqheri, Wisam, Mashohor, Syamsiah
Format: Article
Language:English
Published: International Journal of Computer Science and Network Security 2009
Online Access:http://psasir.upm.edu.my/id/eprint/12807/1/A%20real.pdf
http://psasir.upm.edu.my/id/eprint/12807/
http://search.ijcsns.org/02_search/02_search_03.php?number=200902045
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spelling my.upm.eprints.128072015-11-16T09:03:27Z http://psasir.upm.edu.my/id/eprint/12807/ A real-time Malaysian automatic license plate recognition (M-ALPR) using hybrid fuzzy Al Faqheri, Wisam Mashohor, Syamsiah The Road Transport Department of Malaysia has endorsed a specification for car plates that includes the font and size of characters that must be followed by car owners. However, there are cases where this specification is not followed. This paper proposes a new methodology to segment and recognize Malaysian car license plates automatically. The proposed methodology solves the problem of segmenting different length licenses such as license with different number of character and number. There are two main objectives for this paper: first is to develop fuzzy rules to recognize the segmented characters and numbers from the same input-sets, which is the same size without overlapping between the characters and numbers sets. Secondly, this paper proposes a method to recognize non-standard plates by Template Matching theorem. Finally, the hybrid method of Fuzzy and Template matching is tested on 300 samples of car images captured in outdoor environment. The results yield 90.4% recognition accuracy, the Fuzzy based required 1.7 seconds and Template matching based took 0.75 seconds to perform the recognition. The adaptability factor of the hybrid method is also discussed. International Journal of Computer Science and Network Security 2009-02 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12807/1/A%20real.pdf Al Faqheri, Wisam and Mashohor, Syamsiah (2009) A real-time Malaysian automatic license plate recognition (M-ALPR) using hybrid fuzzy. International Journal of Computer Science and Network Security, 9 (2). pp. 333-340. ISSN 1738-7906 http://search.ijcsns.org/02_search/02_search_03.php?number=200902045
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The Road Transport Department of Malaysia has endorsed a specification for car plates that includes the font and size of characters that must be followed by car owners. However, there are cases where this specification is not followed. This paper proposes a new methodology to segment and recognize Malaysian car license plates automatically. The proposed methodology solves the problem of segmenting different length licenses such as license with different number of character and number. There are two main objectives for this paper: first is to develop fuzzy rules to recognize the segmented characters and numbers from the same input-sets, which is the same size without overlapping between the characters and numbers sets. Secondly, this paper proposes a method to recognize non-standard plates by Template Matching theorem. Finally, the hybrid method of Fuzzy and Template matching is tested on 300 samples of car images captured in outdoor environment. The results yield 90.4% recognition accuracy, the Fuzzy based required 1.7 seconds and Template matching based took 0.75 seconds to perform the recognition. The adaptability factor of the hybrid method is also discussed.
format Article
author Al Faqheri, Wisam
Mashohor, Syamsiah
spellingShingle Al Faqheri, Wisam
Mashohor, Syamsiah
A real-time Malaysian automatic license plate recognition (M-ALPR) using hybrid fuzzy
author_facet Al Faqheri, Wisam
Mashohor, Syamsiah
author_sort Al Faqheri, Wisam
title A real-time Malaysian automatic license plate recognition (M-ALPR) using hybrid fuzzy
title_short A real-time Malaysian automatic license plate recognition (M-ALPR) using hybrid fuzzy
title_full A real-time Malaysian automatic license plate recognition (M-ALPR) using hybrid fuzzy
title_fullStr A real-time Malaysian automatic license plate recognition (M-ALPR) using hybrid fuzzy
title_full_unstemmed A real-time Malaysian automatic license plate recognition (M-ALPR) using hybrid fuzzy
title_sort real-time malaysian automatic license plate recognition (m-alpr) using hybrid fuzzy
publisher International Journal of Computer Science and Network Security
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/12807/1/A%20real.pdf
http://psasir.upm.edu.my/id/eprint/12807/
http://search.ijcsns.org/02_search/02_search_03.php?number=200902045
_version_ 1643825140554792960
score 13.211869

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