A Vehicle License Plate Detection and Recognition Method Using Log Gabor Features and Convolutional Neural Networks

In this article, we present a new method for automatic license plate recognition (ALPR) based on local power spectrum (LPS) features map and convolutional neural network (CNN). The multi-scaled and multi-oriented LPS features derived from log Gabor wavelets are well discussed. Hence, LPS at given or...

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Bibliographic Details
Published in:Cybernetics and systems 2023-01, Vol.54 (1), p.88-103
Main Authors: Zaafouri, Ahmed, Sayadi, Mounir, Wu, Wei
Format: Article
Language:English
Subjects:
Automatic License plate recognition (ALPR)
character recognition
convolutional neural network
Log Gabor wavelets
power spectrum features
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Summary:In this article, we present a new method for automatic license plate recognition (ALPR) based on local power spectrum (LPS) features map and convolutional neural network (CNN). The multi-scaled and multi-oriented LPS features derived from log Gabor wavelets are well discussed. Hence, LPS at given orientation and scale is applied for license plate detection (LPD). Then, we apply an adaptive thresholding algorithm to LP character string for binarization. After that, characters are extracted separately to feed deep CNN for the Tunisian LPR. The proposed LPD approach is tested on Tunisian and Benchmark datasets under different conditions of complexities. Our developed system achieves about 96% accuracy on LPD and 95% on LPR.
ISSN:0196-9722
1087-6553
DOI:10.1080/01969722.2022.2055400