关键词: Relief 算法, 智能车辆牌照, 模糊识别, 显著区域检测, 图像增强

Abstract: Because the existing methods can not reduce the dimension of vehicle license plate, which leads to inaccurate recognition results, an intelligent vehicle license plate fuzzy recognition method based on Relief algorithm is proposed. The Relief algorithm is used to calculate the weight coefficients of different license plate image features and reduce the dimension of the feature set. The smart license plate is enhanced by sequence video images, the full convolution network is used to detect the significant areas of the license plate, roughly extract the significant areas in the image, the sliding window method is used to accurately detect the license plate in the candidate area, locate the exact position of the license plate, add the context information of the characters, accurately detect and recognize the characters, and finally achieve the fuzzy recognition of the smart license plate. The simulation results show that the proposed method can obtain high precision license plate recognition results.

Key words: relief algorithm, intelligent vehicle license plate, fuzzy recognition, salient area detection, image enhancement