• Computer Science
  • Published in ArXiv 2019

An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector

@article{Laroca2019AnEA,
  title={An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector},
  author={Rayson Laroca and Luiz A. Zanlorensi and Gabriel Resende Gonçalves and Eduardo Todt and William Robson Schwartz and David Menotti},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.01754}
}
In this paper, we present an efficient and layout-independent Automatic License Plate Recognition (ALPR) system based on the state-of-the-art YOLO object detector that contains a unified approach for license plate (LP) detection and layout classification to improve the recognition results using post-processing rules. The system is conceived by evaluating and optimizing different models with various modifications, aiming at achieving the best speed/accuracy trade-off at each stage. The networks… CONTINUE READING

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