Classification and comparison of license plates localization algorithms
| Autor: | Mustapha Saidallah, Abdelbaki El Belrhiti El Alaoui, Fatimazahra Taki, Abdeslam El Fergougui |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Machine Learning Economic competition Computer science Computer Vision and Pattern Recognition (cs.CV) Process (computing) Computer Science - Computer Vision and Pattern Recognition Variety (cybernetics) Image (mathematics) Machine Learning (cs.LG) Robustness (computer science) Key (cryptography) Intelligent transportation system Algorithm License |
| Popis: | The Intelligent Transportation Systems (ITS) are the subject of a world economic competition. They are the application of new information and communication technologies in the transport sector, to make the infrastructures more efficient, more reliable and more ecological. License Plates Recognition (LPR) is the key module of these systems, in which the License Plate Localization (LPL) is the most important stage, because it determines the speed and robustness of this module. Thus, during this step the algorithm must process the image and overcome several constraints as climatic and lighting conditions, sensors and angles variety, LPs no-standardization, and the real time processing. This paper presents a classification and comparison of License Plates Localization (LPL) algorithms and describes the advantages, disadvantages and improvements made by each of them 11 pages |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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