article

A sliding window technique for efficient license plate localization based on discrete wavelet transform

Authors:

Shi-Jinn HorngAuthors Info & Claims

Expert Systems with Applications: An International Journal, Volume 38, Issue 4

Pages 3142 - 3146

https://doi.org/10.1016/j.eswa.2010.08.106

Published: 01 April 2011 Publication History

Abstract

Real-time license plate recognition (LPR) is an interesting but complicated research topic. Some previous works use discrete wavelet transform (DWT) to extract license plate (LP), however, most of them are not capable of dealing with complex environments such as the low-contrast source images and the dynamic-range problems. In this paper, we propose an algorithm for license plate localization (LPL) based on DWT. The LP can be extracted from different quality of source images under complex environments by using two frequency subbands. We first use the HL subband to search the features of LP and then verify the features by checking whether in the LH subband there exists a horizontal line around the feature or not. The proposed method can extract both front and back LPs of various vehicles. The experimental results show that the proposed method can achieve good LPL results with both short run-time and high accurate detection rate.

References

[1]

License plate recognition from still images and video sequences: A survey. IEEE Transactions on Intelligent Transportation Systems. v9 i3. 377-391.

[2]

Cao, G., Chen, J., & Jiang, J. (2003). An adaptive approach to vehicle license plate localization. In: Proceedings of the 29th annual conference IECON (pp. 1786-1791).

[3]

Automatic license plate recognition. IEEE Transactions on Intelligent Transport Systems. v5 i1. 42-53.

[4]

License plate localization and character segmentation with feedback self-learning and hybrid binarization techniques. IEEE Transactions on Vehicular Technology. v57 i3. 1417-1424.

[5]

Hsieh, C. T., Juan, Y. S., & Hung, K. M., (2005) Multiple license plate detection for complex background. In: Proceedings of IEEE 19th international conference AINA (pp. 389-392).

[6]

Hung, K. M., Chuang, H. L., & Hsieh, C. T. (2007). License plate detection based on expanded Haar wavelet transform, fuzzy systems and knowledge discovery. In: Proceedings of fourth international conference on FSKD, Haikou (pp. 415-419).

[7]

Li, J., & Xie, M. (2007). A color and texture feature based approach to license plate location. In: Proceedings of international conference on computational intelligence and security, Harbin (pp. 376-380).

Digital Library

[8]

Ma, Z., & Yang, J. (2006). A license plate locating algorithm based on multiple Gauss filters and morphology mathematics. In: Proceedings of the 24th IASTED international multiconference, signal processing, pattern recognition and applications, Insbruck, Austria (pp. 99-94).

[9]

Automatic license plate recognition system based on color image processing. In: Gervasi, O. (Ed.), Springer-Verlag, New York. pp. 1159-1168.

[10]

Suryanarayana, P. V., Mitra, S. K., Banerjee, A., & Roy, A. K. (2005). A morphology based approach for car license plate extraction. In: Proceedings of IEEE INDICON, Chennai, India (pp. 24-27).

[11]

Wang, S. Z., & Lee, H. -J. (2003). Detection and recognition of license plate characters with different appearances. In: Proceedings of IEEE international conference, intelligent transportation (pp. 979-984).

[12]

Wang, Y.-R., Lin, W.-H., & Horng, S.-J. (2009). Fast license plate localization using discrete wavelet transform. In: Proceedings of the ninth international conference on algorithms and architectures for parallel processing (ICA3PP2009), Taipei, Taiwan (pp. 408-415).

[13]

Yang, F., & Ma, Z. (2005). Vehicle license plate location based on histogramming and mathematical morphology. In: Proceedings of fourth IEEE workshop automatic identification advanced technologies (pp. 89-94).

Digital Library

[14]

Zhang, H., Jia, W., He, X., & Wu, Q. (2006). Learning-based license plate detection using global and local features. In: Proceedings of ICPR (pp. 1102-1105).

[15]

An efficient method of license plate location. Pattern Recognition Letters. v26 i15. 2431-2438.

Cited By

Luo GDeng K(2024)Recognition and Correcting Skewed License Plates Using Highest Point PixelsProceedings of the 2024 International Conference on Machine Intelligence and Digital Applications10.1145/3662739.3662750(22-27)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3662739.3662750
Ramajo-Ballester ÁArmingol Moreno Jde la Escalera Hueso A(2024)Dual license plate recognition and visual features encoding for vehicle identificationRobotics and Autonomous Systems10.1016/j.robot.2023.104608172:COnline publication date: 12-Apr-2024
https://dl.acm.org/doi/10.1016/j.robot.2023.104608
Zhang BWang MZhang S(2024)TOCNetExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.122081238:PDOnline publication date: 15-Mar-2024
https://dl.acm.org/doi/10.1016/j.eswa.2023.122081
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A sliding window technique for efficient license plate localization based on discrete wavelet transform
1. Computing methodologies
  1. Artificial intelligence
  2. Computer graphics

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cover image Expert Systems with Applications: An International Journal

Expert Systems with Applications: An International Journal Volume 38, Issue 4

April, 2011

1738 pages

ISSN:0957-4174

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2010.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 April 2011

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Cited By

Luo GDeng K(2024)Recognition and Correcting Skewed License Plates Using Highest Point PixelsProceedings of the 2024 International Conference on Machine Intelligence and Digital Applications10.1145/3662739.3662750(22-27)Online publication date: 30-May-2024
https://dl.acm.org/doi/10.1145/3662739.3662750
Ramajo-Ballester ÁArmingol Moreno Jde la Escalera Hueso A(2024)Dual license plate recognition and visual features encoding for vehicle identificationRobotics and Autonomous Systems10.1016/j.robot.2023.104608172:COnline publication date: 12-Apr-2024
https://dl.acm.org/doi/10.1016/j.robot.2023.104608
Zhang BWang MZhang S(2024)TOCNetExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.122081238:PDOnline publication date: 15-Mar-2024
https://dl.acm.org/doi/10.1016/j.eswa.2023.122081
Jiang YJiang FLuo HLin HYao JLiu JRen J(2023)An Efficient and Unified Recognition Method for Multiple License Plates in Unconstrained ScenariosIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.323774324:5(5376-5389)Online publication date: 1-May-2023
https://dl.acm.org/doi/10.1109/TITS.2023.3237743
Li LZhang PYang SJiao W(2023)YOLOv5-SFEAdvanced Engineering Informatics10.1016/j.aei.2023.10198856:COnline publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1016/j.aei.2023.101988
Muhammad JAltun H(2022)Guiding genetic search algorithm with ANN based fitness function: a case study using structured HOG descriptors for license plate detectionMultimedia Tools and Applications10.1007/s11042-022-14195-y82:12(17979-17997)Online publication date: 21-Nov-2022
https://dl.acm.org/doi/10.1007/s11042-022-14195-y
Pirgazi JSorkhi AKallehbasti M(2021)An efficient robust method for accurate and real-time vehicle plate recognitionJournal of Real-Time Image Processing10.1007/s11554-021-01118-718:5(1759-1772)Online publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1007/s11554-021-01118-7
Rashedi ENezamabadi-Pour H(2018)A hierarchical algorithm for vehicle license plate localizationMultimedia Tools and Applications10.1007/s11042-017-4429-z77:2(2771-2790)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1007/s11042-017-4429-z
Azam SIslam M(2016)Automatic license plate detection in hazardous conditionJournal of Visual Communication and Image Representation10.1016/j.jvcir.2016.01.01536:C(172-186)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1016/j.jvcir.2016.01.015
Yang PClapworthy GDong FCodreanu VWilliams DLiu BRoerdink JDeng Z(2016)GSWOImage Communication10.1016/j.image.2016.05.00347:C(332-345)Online publication date: 1-Sep-2016
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