A Robust License Plate Detection and Character Recognition Algorithm Based on a Combined Feature Extraction Model and BPNN

A Robust License Plate Detection and Character Recognition Algorithm Based on a Combined Feature Extraction Model and BPNN

The rapid development of the license plate recognition technology has made great progress for its widespread uses in intelligent transportation system (ITS). This paper has proposed a novel license plate detection and character recognition algorithm based on a combined feature extraction model and B...

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Main Authors: Fei Xie, Ming Zhang, Jing Zhao, Jiquan Yang, Yijian Liu, Xinyue Yuan
Format: Article
Language:English
Published: Hindawi-Wiley 2018-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2018/6737314
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spelling doaj-91a0c776f7624ccea0aa5a5ef482d5e82020-11-25T00:59:44ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952018-01-01201810.1155/2018/67373146737314A Robust License Plate Detection and Character Recognition Algorithm Based on a Combined Feature Extraction Model and BPNNFei Xie0Ming Zhang1Jing Zhao2Jiquan Yang3Yijian Liu4Xinyue Yuan5School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, ChinaDepartment of Electronic Engineering, City University of Hong Kong, Hong KongJiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing 210042, ChinaSchool of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, ChinaSchool of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, ChinaSchool of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210042, ChinaThe rapid development of the license plate recognition technology has made great progress for its widespread uses in intelligent transportation system (ITS). This paper has proposed a novel license plate detection and character recognition algorithm based on a combined feature extraction model and BPNN (Backpropagation Neural Network) which is adaptable in weak illumination and complicated backgrounds. Firstly, a preprocessing is first used to strengthen the contrast ratio of original car image. Secondly, the candidate regions of license plate are checked to verify the true plate, and the license plate image is located accurately by the integral projection method. Finally, a new feature extraction model is designed using three sets of features combination, training the feature vectors through BPNN to complete accurate recognition of the license plate characters. The experimental results with different license plate demonstrate effectiveness and efficiency of the proposed algorithm under various complex backgrounds. Compared with three traditional methods, the recognition accuracy of proposed algorithm has increased to 97.7% and the consuming time has decreased to 46.1ms.http://dx.doi.org/10.1155/2018/6737314
collection DOAJ
language English
format Article
sources DOAJ
author Fei Xie
Ming Zhang
Jing Zhao
Jiquan Yang
Yijian Liu
Xinyue Yuan
spellingShingle Fei Xie
Ming Zhang
Jing Zhao
Jiquan Yang
Yijian Liu
Xinyue Yuan
A Robust License Plate Detection and Character Recognition Algorithm Based on a Combined Feature Extraction Model and BPNN
Journal of Advanced Transportation
author_facet Fei Xie
Ming Zhang
Jing Zhao
Jiquan Yang
Yijian Liu
Xinyue Yuan
author_sort Fei Xie
title A Robust License Plate Detection and Character Recognition Algorithm Based on a Combined Feature Extraction Model and BPNN
title_short A Robust License Plate Detection and Character Recognition Algorithm Based on a Combined Feature Extraction Model and BPNN
title_full A Robust License Plate Detection and Character Recognition Algorithm Based on a Combined Feature Extraction Model and BPNN
title_fullStr A Robust License Plate Detection and Character Recognition Algorithm Based on a Combined Feature Extraction Model and BPNN
title_full_unstemmed A Robust License Plate Detection and Character Recognition Algorithm Based on a Combined Feature Extraction Model and BPNN
title_sort robust license plate detection and character recognition algorithm based on a combined feature extraction model and bpnn
publisher Hindawi-Wiley
series Journal of Advanced Transportation
issn 0197-6729
2042-3195
publishDate 2018-01-01
description The rapid development of the license plate recognition technology has made great progress for its widespread uses in intelligent transportation system (ITS). This paper has proposed a novel license plate detection and character recognition algorithm based on a combined feature extraction model and BPNN (Backpropagation Neural Network) which is adaptable in weak illumination and complicated backgrounds. Firstly, a preprocessing is first used to strengthen the contrast ratio of original car image. Secondly, the candidate regions of license plate are checked to verify the true plate, and the license plate image is located accurately by the integral projection method. Finally, a new feature extraction model is designed using three sets of features combination, training the feature vectors through BPNN to complete accurate recognition of the license plate characters. The experimental results with different license plate demonstrate effectiveness and efficiency of the proposed algorithm under various complex backgrounds. Compared with three traditional methods, the recognition accuracy of proposed algorithm has increased to 97.7% and the consuming time has decreased to 46.1ms.
url http://dx.doi.org/10.1155/2018/6737314
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