Development of portable automatic number plate recognition system on android mobile phone
The Automatic Number Plate Recognition (ANPR) System has performed as the main role in various access control and security, such as: tracking of stolen vehicles, traffic violations (speed trap) and parking management system. In this paper, the portable ANPR implemented on android mobile phone is pre...
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iium-360022015-04-28T01:31:57Z http://irep.iium.edu.my/36002/ Development of portable automatic number plate recognition system on android mobile phone Mutholib, Abdul Gunawan, Teddy Surya Chebil, Jalel Kartiwi, Mira TK Electrical engineering. Electronics Nuclear engineering The Automatic Number Plate Recognition (ANPR) System has performed as the main role in various access control and security, such as: tracking of stolen vehicles, traffic violations (speed trap) and parking management system. In this paper, the portable ANPR implemented on android mobile phone is presented. The main challenges in mobile application are including higher coding efficiency, reduced computational complexity, and improved flexibility. Significance efforts are being explored to find suitable and adaptive algorithm for implementation of ANPR on mobile phone. ANPR system for mobile phone need to be optimize due to its limited CPU and memory resources, its ability for geo-tagging image captured using GPS coordinates and its ability to access online database to store the vehicle’s information. In this paper, the design of portable ANPR on android mobile phone will be described as follows. First, the graphical user interface (GUI) for capturing image using built-in camera was developed to acquire vehicle plate number in Malaysia. Second, the preprocessing of raw image was done using contrast enhancement. Next, character segmentation using fixed pitch and an optical character recognition (OCR) using neural network were utilized to extract texts and numbers. Both character segmentation and OCR were using Tesseract library from Google Inc. The proposed portable ANPR algorithm was implemented and simulated using Android SDK on a computer. Based on the experimental results, the proposed system can effectively recognize the license plate number at 90.86%. The required processing time to recognize a license plate is only 2 seconds on average. The result is consider good in comparison with the results obtained from previous system that was processed in a desktop PC with the range of result from 91.59% to 98% recognition rate and 0.284 second to 1.5 seconds recognition time. IOP Publishing 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/36002/1/Development_of_Portable_Automatic_Number_Plate_Recognition_System_on_Android_Mobile_Phone.pdf Mutholib, Abdul and Gunawan, Teddy Surya and Chebil, Jalel and Kartiwi, Mira (2013) Development of portable automatic number plate recognition system on android mobile phone. IOP Conference Series: Materials Science and Engineering, 53 (012066). pp. 1-10. ISSN 1757-8981 http://iopscience.iop.org/1757-899X/53/1 |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Mutholib, Abdul Gunawan, Teddy Surya Chebil, Jalel Kartiwi, Mira Development of portable automatic number plate recognition system on android mobile phone |
description |
The Automatic Number Plate Recognition (ANPR) System has performed as the main role in various access control and security, such as: tracking of stolen vehicles, traffic violations (speed trap) and parking management system. In this paper, the portable ANPR implemented on android mobile phone is presented. The main challenges in mobile application are including higher coding efficiency, reduced computational complexity, and improved flexibility. Significance efforts are being explored to find suitable and adaptive algorithm for implementation of ANPR on mobile phone. ANPR system for mobile phone need to be optimize due to its limited CPU and memory resources, its ability for geo-tagging image captured using GPS coordinates and its ability to access online database to store the vehicle’s information. In this paper, the design of portable ANPR on android mobile phone will be described as follows. First, the graphical user interface (GUI) for capturing image using built-in camera was developed to acquire vehicle plate number in Malaysia. Second, the preprocessing of raw image was done using contrast enhancement. Next, character segmentation using fixed pitch and an optical character recognition (OCR) using neural network were utilized to extract texts and numbers. Both character segmentation and OCR were using Tesseract library from Google Inc. The proposed portable ANPR algorithm was implemented and simulated using Android SDK on a computer. Based on the experimental results, the proposed system can effectively recognize the license plate number at 90.86%. The required processing time to recognize a license plate is only 2 seconds on average. The result is consider good in comparison with the results obtained from previous system that was processed in a desktop PC with the range of result from 91.59% to 98% recognition rate and 0.284 second to 1.5 seconds recognition time. |
format |
Article |
author |
Mutholib, Abdul Gunawan, Teddy Surya Chebil, Jalel Kartiwi, Mira |
author_facet |
Mutholib, Abdul Gunawan, Teddy Surya Chebil, Jalel Kartiwi, Mira |
author_sort |
Mutholib, Abdul |
title |
Development of portable automatic number plate recognition system on android mobile phone |
title_short |
Development of portable automatic number plate recognition system on android mobile phone |
title_full |
Development of portable automatic number plate recognition system on android mobile phone |
title_fullStr |
Development of portable automatic number plate recognition system on android mobile phone |
title_full_unstemmed |
Development of portable automatic number plate recognition system on android mobile phone |
title_sort |
development of portable automatic number plate recognition system on android mobile phone |
publisher |
IOP Publishing |
publishDate |
2013 |
url |
http://irep.iium.edu.my/36002/ http://irep.iium.edu.my/36002/ http://irep.iium.edu.my/36002/1/Development_of_Portable_Automatic_Number_Plate_Recognition_System_on_Android_Mobile_Phone.pdf |
first_indexed |
2023-09-18T20:51:33Z |
last_indexed |
2023-09-18T20:51:33Z |
_version_ |
1777410027718443008 |