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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
International Journal of Computer Science and Network Security
2009
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| Online Access: | http://psasir.upm.edu.my/id/eprint/12807/ http://psasir.upm.edu.my/id/eprint/12807/1/A%20real.pdf |
| _version_ | 1848841936241164288 |
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| author | Al Faqheri, Wisam Mashohor, Syamsiah |
| author_facet | Al Faqheri, Wisam Mashohor, Syamsiah |
| author_sort | Al Faqheri, Wisam |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T07:51:09Z |
| format | Article |
| id | upm-12807 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T07:51:09Z |
| publishDate | 2009 |
| publisher | International Journal of Computer Science and Network Security |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| spellingShingle | Al Faqheri, Wisam Mashohor, Syamsiah A real-time Malaysian automatic license plate recognition (M-ALPR) using hybrid fuzzy |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/12807/ http://psasir.upm.edu.my/id/eprint/12807/ http://psasir.upm.edu.my/id/eprint/12807/1/A%20real.pdf |