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

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.