LPRNet: License Plate Recognition via Deep Neural Networks

Understand

This paper proposes LPRNet - end-to-end method for Automatic License Plate Recognition without preliminary character segmentation.

• Our approach is inspired by recent breakthroughs in Deep Neural Networks, and works in real-time with recognition accuracy up to 95% for Chinese license plates: 3 ms/plate on nVIDIA GeForce GTX 1080 and 1.3 ms/plate on Intel Core i7-6700K CPU.
• LPRNet consists of the lightweight Convolutional Neural Network, so it can be trained in end-to-end way.
• To the best of our knowledge, LPRNet is the first real-time License Plate Recognition system that does not use RNNs.