改进LBP特征算子及变换模板的应用  

Application of Improved Lbp Feature Operator and Transformed Template

作　　者：王锋[1] 王福龙[1] 

机构地区：[1]广东工业大学应用数学学院,广州510520

出　　处：《计算机系统应用》2014年第11期232-234,共3页Computer Systems & Applications

基　　金：广东省自然科学基金(S2011040004273)

摘　　要：车牌识别是智能交通系统中一个重要的应用分支,目前在字符识别模块中,主要存在误识别等问题,造成这种误识别的主要原因有两点:一是特征提取的方法,二是模板字符的单一化.针对这两个问题,主要从模式识别的角度改进了LBP算子,对分割出的字符进行特征提取,以提高识别率;另一方面,对模板字符进行处理,使其本身倾斜或水平偏转一定角度,来适应各种不同倾斜或偏转幅度的车牌图像.实验结果表明,本文所采用的方法对字符识别的的准确性具有显著提高.License plate recognition is an important branch of the intelligent transportation system. In the character recognition module, there is a misrecognition problem. The reasons are the methods of the recognition and the singled template. To solve these problems, a improved LBP feature operator is proposed, extracting features from the segmented characters, thus improving recognition rate. On the other hand, inclining or deflecting templates, to adapt to different angles of inclination of the plate image. The experimental results show that the recognition rate has been improved by our methods.

关 键 词：字符识别 LBP特征提取 模板倾斜 识别率 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]