Distinguishing license plate numbers using discrete wavelet transform technology based deep learning
| Autor: | Asma Abdulelah Abdulrahman, Fouad Shaker Tahir |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Indonesian Journal of Electrical Engineering and Computer Science. 30:1771 |
| ISSN: | 2502-4760 2502-4752 |
| DOI: | 10.11591/ijeecs.v30.i3.pp1771-1776 |
| Popis: | Cars that violate the red light, and to increase the huge number of cars in violation, it is necessary to discover a system for identifying car plate numbers with the intervention of a computer, computer vision and neural networks segment and detail the number plates by designing regular algorithms to identify the number of license plates in violation. In this work, interest is in identifying the Iraqi car plate in order to know the place where the vehicle papers and the letters on which the vehicle depends and to know the location of the car were completed. The technique that was carried out in this work is to build new wavelets from polynomials by mathematical methods and discover a new algorithm using the MATLAB program to identify each number in the vehicle plate with a specific color by training a convolutional neural network (CNN) after analyzing the image using the new wavelets to identify the contents of the plate and good results have been reached. The accuracy level was reached with good values of up to 95%. |
| Databáze: | OpenAIRE |
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