In this work, we tackle the problem of car license plate detection and
recognition in natural scene images. We propose a unified deep neural network
which can localize license plates and recognize the letters simultaneously in a
single forward pass. The whole network can be trained end-to-end. In contrast
to existing approaches which take license plate detection and recognition as
two separate tasks and settle them step by step, our method jointly solves
these two tasks by a single network. It not only avoids intermediate error
accumulation, but also accelerates the processing speed. For performance
evaluation, three datasets including images captured from various scenes under
different conditions are tested. Extensive experiments show the effectiveness
and efficiency of our proposed approach.

本研究提出了一种融合深度神经网络的方法，在单个前向传递中同时定位车牌并识别车牌上的字符。与现有方法不同的是，我们的方法可以避免中间误差的积累，并加快处理速度，并在三个数据集上进行实验，证明了我们的方法的有效性和效率。