基于Relief算法的智能车辆牌照模糊识别方法

Fuzzy Recognition Method of Intelligent Vehicle License Plate Based on Relief Algorithm

由于当前已有方法未能对车牌照进行降维处理,导致车牌照识别结果不准确,为此,提出一种基于Relief算法的智能车辆牌照模糊识别方法。采用Relief算法计算不同车牌图像特征的权重系数,对特征集进行降维处理。通过序列视频图像对智能车牌进行增强处理,利用全卷积网络对车牌照显著区域进行检测,粗略提取图像中的显著区域,使用滑动窗方法对候选区域车牌进行精准检测,定位车牌准确位置,加入字符的上下文信息,对字符进行精确检测和识别,最终实现智能车辆牌照模糊识别。仿真实验结果表明,所提方法可获取高精度的车牌照识别结果。

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.