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Inicio  /  Applied Sciences  /  Vol: 10 Par: 6 (2020)  /  Artículo
ARTÍCULO
TITULO

An Adaptive Approach for Multi-National Vehicle License Plate Recognition Using Multi-Level Deep Features and Foreground Polarity Detection Model

Muhammad Ali Raza    
Chun Qi    
Muhammad Rizwan Asif and Muhammad Armoghan Khan    

Resumen

We present an adaptive framework for the recognition of multinational vehicles license plates. To make it generalized, this research does not require any prior knowledge of license plate layout and, furthermore, training data is not used from all of the targeted countries. These properties make this approach more suitable in order to get the registration identity of multinational vehicles.

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REVISTAS SIMILARES
Water
Aerospace
Algorithms

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