基于模板匹配和局部HOG特征的车牌识别算法

针对车牌字符识别中模板匹配法识别率低,尤其是无法准确识别相似字符的不足,本文提出了一种模板匹配法结合局部HOG特征的车牌识别算法.首先利用模板匹配法对车牌所有字符进行初步识别,然后分别提取车牌和模板相似字符中最具区分度的一小块HOG特征进而构建特征向量,最后根据特征向量之间的欧氏距离来度量车牌字符和模板字符的相似性,进而完成二次识别.实验结果表明,本文方法有效地解决了相似字符误识别的问题,在保证识别速率的同时识别率显著提高.

Algorithm of License Plate Recognition Based on Template Matching and Local HOG Feature

In order to solve the low recognition rate of template matching method in license plate character recognition, especially the similar characters, this paper proposes a method of license plate recognition based on template matching combined with local HOG features.First, we use the template matching method for preliminary identification of all the characters of a license plate.Second, the HOG features corresponding to the most discriminative characters among the similar characters of the plate and the template are extracted, and then the feature vector is constructed.Last, according to the Euclidean distance among feature vectors to measure the similarity of the license plate character and the template character, and then complete the second recognition.The experimental results show that this method is effective to solve the problem of false recognition of similar character and the recognition rate is significantly improved.