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License plate detection and recognition using hierarchical feature layers from CNN

Authors:

Qingxin HuAuthors Info & Claims

Multimedia Tools and Applications, Volume 78, Issue 11

Pages 15665 - 15680

https://doi.org/10.1007/s11042-018-6889-1

Published: 01 June 2019 Publication History

Abstract

In recent years, a variety of systems using deep convolutional neural network (CNN) approaches have achieved good performance on license plate detection and character recognition. However, most of these systems are not stable when the scenes changed, specification of each hierarchical layer to get the final detection result, which can detect multi-scale license plates from an input image. Meanwhile, at the stage of character recognition, data annotation is heavy and time-consuming, giving rise to a large burden on training a better model. We devise an algorithm to generate annotated training data automatically and approximate the data from the real scenes. Our system used for detecting license plate achieves 99.99% mean average precision (mAP) on OpenITS datasets. Character recognition also sees high accuracy, thus verifying the superiority of our method.

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Cited By

Mo ZChen SLiu QChen FYin X(2024)Multi-task Learning for License Plate Recognition in Unconstrained ScenariosDocument Analysis and Recognition - ICDAR 202410.1007/978-3-031-70533-5_3(34-50)Online publication date: 30-Aug-2024
https://dl.acm.org/doi/10.1007/978-3-031-70533-5_3
Liu YLiu QChen SChen FYin X(2024)Irregular License Plate Recognition via Global Information IntegrationMultiMedia Modeling10.1007/978-3-031-53308-2_24(325-339)Online publication date: 29-Jan-2024
https://dl.acm.org/doi/10.1007/978-3-031-53308-2_24
Shahidi Zandi MRajabi R(2022)Deep learning based framework for Iranian license plate detection and recognitionMultimedia Tools and Applications10.1007/s11042-022-12023-x81:11(15841-15858)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s11042-022-12023-x
Show More Cited By

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Information & Contributors

Information

Published In

cover image Multimedia Tools and Applications

Multimedia Tools and Applications Volume 78, Issue 11

Jun 2019

1558 pages

ISSN:1380-7501

Issue’s Table of Contents

Copyright © Copyright © 2019 Springer Science+Business Media, LLC, part of Springer Nature.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 June 2019

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Cited By

Mo ZChen SLiu QChen FYin X(2024)Multi-task Learning for License Plate Recognition in Unconstrained ScenariosDocument Analysis and Recognition - ICDAR 202410.1007/978-3-031-70533-5_3(34-50)Online publication date: 30-Aug-2024
https://dl.acm.org/doi/10.1007/978-3-031-70533-5_3
Liu YLiu QChen SChen FYin X(2024)Irregular License Plate Recognition via Global Information IntegrationMultiMedia Modeling10.1007/978-3-031-53308-2_24(325-339)Online publication date: 29-Jan-2024
https://dl.acm.org/doi/10.1007/978-3-031-53308-2_24
Shahidi Zandi MRajabi R(2022)Deep learning based framework for Iranian license plate detection and recognitionMultimedia Tools and Applications10.1007/s11042-022-12023-x81:11(15841-15858)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1007/s11042-022-12023-x
Dey RBalabantaray RMohanty S(2022)Sliding window based off-line handwritten text recognition using edit distanceMultimedia Tools and Applications10.1007/s11042-021-10988-981:16(22761-22788)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1007/s11042-021-10988-9
Taleb HLi ZYuan CWu HZhao XGhanem F(2022)An Effective Method for Yemeni License Plate Recognition Based on Deep Neural NetworksIntelligent Computing Methodologies10.1007/978-3-031-13832-4_26(304-314)Online publication date: 7-Aug-2022
https://dl.acm.org/doi/10.1007/978-3-031-13832-4_26

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