###
计算机系统应用英文版:2017,26(1):122-128
本文二维码信息
码上扫一扫!
基于模板匹配和局部HOG特征的车牌识别算法
(广东工业大学 应用数学学院, 广州 510520)
Algorithm of License Plate Recognition Based on Template Matching and Local HOG Feature
(School of Applied Mathematics, Guangdong University of Technology, Guangzhou 510520, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 2197次   下载 4581
Received:April 12, 2016    Revised:May 12, 2016
中文摘要: 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.
Abstract: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.
文章编号:     中图分类号:    文献标志码:
基金项目:广东省自然科学基金(S2011040004273)
引用文本:
高聪,王福龙.基于模板匹配和局部HOG特征的车牌识别算法.计算机系统应用,2017,26(1):122-128
GAO Cong,WANG Fu-Long.Algorithm of License Plate Recognition Based on Template Matching and Local HOG Feature.COMPUTER SYSTEMS APPLICATIONS,2017,26(1):122-128