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基于Adaboost cascade的车牌检测技术
License Plate Detection Based on Adaboost Cascade Algorithm
【摘要】 研究基于Adaboost cascade算法的车牌检测技术,针对收费站车辆照片,选用局部矩形特征,利用cascade算法得到了98%的识别率,误识对象一般都集中在真实目标附近,从而验证了方法的可行性.
【Abstract】 This paper is mainly concerned with license plate detection that based on Adaboost cascade algorithm.Using part rectangle feature,we experimented on vehicle images from toll station and got the following results: 98 % recognition rate,the objects identified wrong generally muster around the target object.The results indicate that this method is feasible.
【关键词】 车牌检测;
矩形特征;
Adaboostcascade算法;
【Key words】 license plate detection; rectangle feature; adaboost cascade algorithm;
【Key words】 license plate detection; rectangle feature; adaboost cascade algorithm;
【基金】 国家自然科学基金项目(10571011)
- 【文献出处】 河南大学学报(自然科学版) ,Journal of Henan University(Natural Science) , 编辑部邮箱 ,2008年03期
- 【分类号】TP391.41
- 【被引频次】2
- 【下载频次】293