A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector

@article{Laroca2018ARR,
  title={A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector},
  author={Rayson Laroca and Evair Severo and L. A. Zanlorensi and Luiz Oliveira and G. Gonçalves and W. R. Schwartz and D. Menotti},
  journal={2018 International Joint Conference on Neural Networks (IJCNN)},
  year={2018},
  pages={1-10}
}
Automatic License Plate Recognition (ALPR) has been a frequent topic of research due to many practical applications. [...] Key Method The Convolutional Neural Networks (CNNs) are trained and finetuned for each ALPR stage so that they are robust under different conditions (e.g., variations in camera, lighting, and background). Specially for character segmentation and recognition, we design a two-stage approach employing simple data augmentation tricks such as inverted License Plates (LPs) and flipped characters…Expand
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