A lightweight integrated network with weak-supervised perspective rectification plus attention and Focal CTC loss improves Chinese license plate recognition speed and accuracy, including synthetic double-line plates.
Two-step algorithm for license plate identification using deep neural networks
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LPTR-AFLNet: Lightweight Integrated Chinese License Plate Rectification and Recognition Network
A lightweight integrated network with weak-supervised perspective rectification plus attention and Focal CTC loss improves Chinese license plate recognition speed and accuracy, including synthetic double-line plates.