In view of the image information collected by hardware devices under low-light conditions, the signal and noise are relatively low, which will lead to the inability to accurately analyze and process image details and colors in the future. In order to explore the license plate recognition technology based on CNN, this paper improves some recognition steps to strengthen the license plate recognition technology in low-light conditions. The authors use histogram correction and histogram equalization methods in the image pre-processing stage to enhance the image and improve the image quality, and applies the algorithm is applied in low light conditions, which can solve the related problems of low license plate recognition accuracy due to weather or environmental influence, and make the license plate recognition algorithm more suitable for low light environments.