Deep-Learning-Based Approach for Iraqi and Malaysian Vehicle License Plate Recognition
Recognizing vehicle plate numbers is a key step towards implementing the legislation on traffic and reducing the number of daily traffic accidents. Although machine learning has advanced considerably, the recognition of license plates remains an obstacle, particularly in countries whose plate number...
Enregistré dans:
Auteurs principaux: | Dhuha Habeeb, Fuad Noman, Ammar Ahmed Alkahtani, Yazan A. Alsariera, Gamal Alkawsi, Yousef Fazea, Ammar Mohammed Al-jubari |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Hindawi Limited
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/569b0a5376ef400ebf6c36c9aa3b4723 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A Deep Learning Based Approach for Localization and Recognition of Pakistani Vehicle License Plates
par: Umair Yousaf, et autres
Publié: (2021) -
Research and Implementation of Fast-LPRNet Algorithm for License Plate Recognition
par: Zhichao Wang, et autres
Publié: (2021) -
Improved Automatic License Plate Recognition in Jordan Based on Ceiling Analysis
par: Musa Al-Yaman, et autres
Publié: (2021) -
A New Image Enhancement and Super Resolution technique for license plate recognition
par: Abdelsalam Hamdi, et autres
Publié: (2021) -
A Deep Learning Model of Dual-Stage License Plate Recognition Applicable to the Data Processing Industry
par: Chun-Liang Tung, et autres
Publié: (2021)