License Plate Location Based on Combination of Deep Learning and Feature Fusion

License plate location is the key step of license plate recognition. In order to improve the precision of license plate location, a license plate location method based on deep learning and feature fusion is proposed in this paper. Firstly, the color feature of license plate is extracted by histogram backprojection method, and the texture feature of license plate is extracted by Sobel Operator. Combining these two kinds of features, the obtained connectivity regions are used as the candidate regions of license plate. And then ResNet20 convolutional neural network is used to identify the candidate regions and locate the license plate. The test results show that the method can satisfy the precise license plate location under the different shooting angles and illuminations, and lay a foundation for improving the accuracy and robustness of license plate recognition in the future.