基于局部二值特征的车标识别
Vehicle-Logo Recognition Method based on Local Binary Pattern
车标定位与识别对于智能交通系统有很高研究价值。随着套牌车的出现,单从车牌识别来自动化管理交通已变得不可靠,如果将车标信息月车牌和车型信息相结合,将会极大提高车辆识别的可靠性。本文以解决车标定位和识别关键技术所涉及的问题为主线,提出了一种在车牌定位基础上进行车标定位的方法,然后对定位到的车标进行LBP特征的计算,利用欧式距离计算其相似度,从而实现车标的分类。本文所实现的车标识别达到一个不错的准确度。
Vehicle-logo location and recognition has a high research value for intelligent transportation system. With the emergence of car deck, only license plate recognition has become unreliable for automated management traffic. The reliability of the vehicle identification will greatly improve when combining license plate information with vehicle information. In order to solve vehicle-logo location and recognition, the paper presents a new method of vehicle-logo location based on license plate location. Then the Local Binary Pattern(LBP) descriptor computed over an vehicle-logo image as feature vector, then similarity between test vehicle-logo image and template images calculated by Euclidean distance.And the experiments have a good recognition rate.
张洪刚、梁冬、石宽、侯成文
自动化技术、自动化技术设备计算技术、计算机技术
模式识别与智能系统车牌定位车标识别LBP特征
Pattern Recognition and Intelligient SystemLicense Plate LocationVehicle-logo RecognitionLBP
张洪刚,梁冬,石宽,侯成文.基于局部二值特征的车标识别[EB/OL].(2014-10-15)[2025-08-23].http://www.paper.edu.cn/releasepaper/content/201410-128.点此复制
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