The utilization of template matching method for license plate recognition: A case study in Malaysia

Automatic License plate detection and recognition system is special form of optical character recognition and has been an active research domain in image processing field. However, the accuracy is varied due to different styles of number plates en-dorsed. Besides, the characters on Malaysia license...

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Main Authors: Norazira, A Jalil, Hasan Basari, Abd Samad, Salam, Sazilah, Ibrahim, Nuzulha Khilwani, Norasikin, Mohd Adili
Format: Conference or Workshop Item
Language:English
Published: 2014
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Online Access:http://eprints.utem.edu.my/id/eprint/14206/1/aziraICOCOE-Utilisation_of_template_matching.pdf
http://eprints.utem.edu.my/id/eprint/14206/
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
id my.utem.eprints.14206
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spelling my.utem.eprints.142062023-06-09T10:33:33Z http://eprints.utem.edu.my/id/eprint/14206/ The utilization of template matching method for license plate recognition: A case study in Malaysia Norazira, A Jalil Hasan Basari, Abd Samad Salam, Sazilah Ibrahim, Nuzulha Khilwani Norasikin, Mohd Adili QA76 Computer software Automatic License plate detection and recognition system is special form of optical character recognition and has been an active research domain in image processing field. However, the accuracy is varied due to different styles of number plates en-dorsed. Besides, the characters on Malaysia license plate are in one or two lines.Thus, the proposed license plate recognition (LPR) technique of this research is able to achieve the best recognition performance based on Malaysia license plate vehicle registration number characters. This paper presents a study of applying the template matching method for character image recognition. The database of characters and license plate image has been created by collecting images from various type of car. The initial pre-processing involves image enhancement, binarization, filtering and segmenting of license plate. There are 100 license plates that contain 693 characters have been tested, and the result shown that 92.78% of all characters is correctly recognized. Thus,template matching can be classified as one of the promising algorithm for recognizing Malaysia license plate. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/14206/1/aziraICOCOE-Utilisation_of_template_matching.pdf Norazira, A Jalil and Hasan Basari, Abd Samad and Salam, Sazilah and Ibrahim, Nuzulha Khilwani and Norasikin, Mohd Adili (2014) The utilization of template matching method for license plate recognition: A case study in Malaysia. In: 1st International Conference on Communication and Computer Engineering, 20-21 MAY 2014, KING HOTEL, MELAKA.
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Norazira, A Jalil
Hasan Basari, Abd Samad
Salam, Sazilah
Ibrahim, Nuzulha Khilwani
Norasikin, Mohd Adili
The utilization of template matching method for license plate recognition: A case study in Malaysia
description Automatic License plate detection and recognition system is special form of optical character recognition and has been an active research domain in image processing field. However, the accuracy is varied due to different styles of number plates en-dorsed. Besides, the characters on Malaysia license plate are in one or two lines.Thus, the proposed license plate recognition (LPR) technique of this research is able to achieve the best recognition performance based on Malaysia license plate vehicle registration number characters. This paper presents a study of applying the template matching method for character image recognition. The database of characters and license plate image has been created by collecting images from various type of car. The initial pre-processing involves image enhancement, binarization, filtering and segmenting of license plate. There are 100 license plates that contain 693 characters have been tested, and the result shown that 92.78% of all characters is correctly recognized. Thus,template matching can be classified as one of the promising algorithm for recognizing Malaysia license plate.
format Conference or Workshop Item
author Norazira, A Jalil
Hasan Basari, Abd Samad
Salam, Sazilah
Ibrahim, Nuzulha Khilwani
Norasikin, Mohd Adili
author_facet Norazira, A Jalil
Hasan Basari, Abd Samad
Salam, Sazilah
Ibrahim, Nuzulha Khilwani
Norasikin, Mohd Adili
author_sort Norazira, A Jalil
title The utilization of template matching method for license plate recognition: A case study in Malaysia
title_short The utilization of template matching method for license plate recognition: A case study in Malaysia
title_full The utilization of template matching method for license plate recognition: A case study in Malaysia
title_fullStr The utilization of template matching method for license plate recognition: A case study in Malaysia
title_full_unstemmed The utilization of template matching method for license plate recognition: A case study in Malaysia
title_sort utilization of template matching method for license plate recognition: a case study in malaysia
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/14206/1/aziraICOCOE-Utilisation_of_template_matching.pdf
http://eprints.utem.edu.my/id/eprint/14206/
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