摘要
针对车型识别技术在智能交通管理中存在的问题,提出基于灰度共生矩阵纹理特征的车型识别系统。该系统由车辆图像采集及预处理、车脸分割、纹理特征提取、最小距离分类器等组成。经过实验,该车型识别系统的准确率达到90%。
The technique of vehicle recognition system still has problem in theintelligent traffic management, this paper gives a vehicle recognition system based ongray level co-occurrence matrix texture features. Thesystem consists of vehicle image acquisitionand preprocessing,car face segmentation, texture feature extraction, the minimum distance classifieretc.The accuracy rate of the vehicletyperecognition system achieves to90%bythe experiment.
出处
《自动化与信息工程》
2015年第2期33-36,40,共5页
Automation & Information Engineering
基金
国家自然科学基金项目(61102034)
广东省工业高新技术领域科技计划项目(2013B010401028)资助
关键词
车型识别
灰度共生矩阵
纹理特征
最小距离分类器
Vehicle Type Recognition
Gray Level Co-Occurrence Matrix
Texture Feature
Minimum Distance Classifier