Performance evaluation of automatic number plate recognition on android smartphone platform

Automatic Number Plate Recognition (ANPR) is an intelligent system which has the capability to recognize the character on vehicle number plate. Previous researches implemented ANPR system on personal computer (PC) with high resolution camera and high computational capability. On the other hand, not...

Full description

Bibliographic Details
Main Authors:	Gunawan, Teddy Surya, Mutholib, Abdul, Kartiwi, Mira
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/57754/ http://irep.iium.edu.my/57754/ http://irep.iium.edu.my/57754/ http://irep.iium.edu.my/57754/1/GunawanANPRdevelopment_7736-8390-1-Published.pdf http://irep.iium.edu.my/57754/7/Performance%20evaluation%20of%20automatic%20number%20plate%20recognition%20on%20android%20smartphone%20platform.pdf

id	iium-57754
recordtype	eprints
spelling	iium-577542018-01-19T02:14:17Z http://irep.iium.edu.my/57754/ Performance evaluation of automatic number plate recognition on android smartphone platform Gunawan, Teddy Surya Mutholib, Abdul Kartiwi, Mira TK Electrical engineering. Electronics Nuclear engineering Automatic Number Plate Recognition (ANPR) is an intelligent system which has the capability to recognize the character on vehicle number plate. Previous researches implemented ANPR system on personal computer (PC) with high resolution camera and high computational capability. On the other hand, not many researches have been conducted on the design and implementation of ANPR in smartphone platforms which has limited camera resolution and processing speed. In this paper, various steps to optimize ANPR, including pre-processing, segmentation, and optical character recognition (OCR) using artificial neural network (ANN) and template matching, were described. The proposed ANPR algorithm was based on Tesseract and Leptonica libraries. For comparison purpose, the template matching based OCR will be compared to ANN based OCR. Performance of the proposed algorithm was evaluated on the developed Malaysian number plates’ image database captured by smartphone’s camera. Results showed that the accuracy and processing time of the proposed algorithm using template matching was 97.5% and 1.13 seconds, respectively. On the other hand, the traditional algorithm using template matching only obtained 83.7% recognition rate with 0.98 second processing time. It shows that our proposed ANPR algorithm improved the recognition rate with negligible additional processing time. Institute of Advanced Engineering and Science 2017-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/57754/1/GunawanANPRdevelopment_7736-8390-1-Published.pdf application/pdf en http://irep.iium.edu.my/57754/7/Performance%20evaluation%20of%20automatic%20number%20plate%20recognition%20on%20android%20smartphone%20platform.pdf Gunawan, Teddy Surya and Mutholib, Abdul and Kartiwi, Mira (2017) Performance evaluation of automatic number plate recognition on android smartphone platform. International Journal of Electrical and Computer Engineering, 7 (3). pp. 1941-1951. ISSN 2088-8708 http://www.iaescore.com/journals/index.php/IJECE/article/view/7736 10.11591/ijece.v7i3.pp1941-1951
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Gunawan, Teddy Surya Mutholib, Abdul Kartiwi, Mira Performance evaluation of automatic number plate recognition on android smartphone platform
description	Automatic Number Plate Recognition (ANPR) is an intelligent system which has the capability to recognize the character on vehicle number plate. Previous researches implemented ANPR system on personal computer (PC) with high resolution camera and high computational capability. On the other hand, not many researches have been conducted on the design and implementation of ANPR in smartphone platforms which has limited camera resolution and processing speed. In this paper, various steps to optimize ANPR, including pre-processing, segmentation, and optical character recognition (OCR) using artificial neural network (ANN) and template matching, were described. The proposed ANPR algorithm was based on Tesseract and Leptonica libraries. For comparison purpose, the template matching based OCR will be compared to ANN based OCR. Performance of the proposed algorithm was evaluated on the developed Malaysian number plates’ image database captured by smartphone’s camera. Results showed that the accuracy and processing time of the proposed algorithm using template matching was 97.5% and 1.13 seconds, respectively. On the other hand, the traditional algorithm using template matching only obtained 83.7% recognition rate with 0.98 second processing time. It shows that our proposed ANPR algorithm improved the recognition rate with negligible additional processing time.
format	Article
author	Gunawan, Teddy Surya Mutholib, Abdul Kartiwi, Mira
author_facet	Gunawan, Teddy Surya Mutholib, Abdul Kartiwi, Mira
author_sort	Gunawan, Teddy Surya
title	Performance evaluation of automatic number plate recognition on android smartphone platform
title_short	Performance evaluation of automatic number plate recognition on android smartphone platform
title_full	Performance evaluation of automatic number plate recognition on android smartphone platform
title_fullStr	Performance evaluation of automatic number plate recognition on android smartphone platform
title_full_unstemmed	Performance evaluation of automatic number plate recognition on android smartphone platform
title_sort	performance evaluation of automatic number plate recognition on android smartphone platform
publisher	Institute of Advanced Engineering and Science
publishDate	2017
url	http://irep.iium.edu.my/57754/ http://irep.iium.edu.my/57754/ http://irep.iium.edu.my/57754/ http://irep.iium.edu.my/57754/1/GunawanANPRdevelopment_7736-8390-1-Published.pdf http://irep.iium.edu.my/57754/7/Performance%20evaluation%20of%20automatic%20number%20plate%20recognition%20on%20android%20smartphone%20platform.pdf
first_indexed	2023-09-18T21:21:39Z
last_indexed	2023-09-18T21:21:39Z
_version_	1777411921865080832

Performance evaluation of automatic number plate recognition on android smartphone platform

Similar Items