【摘要】 对车牌区域的准确定位是实现自动车牌识别的一个关键问题。提出了一种综合考虑车体对称特性以及采用颜色聚类的高效车牌定位算法。该算法首先对待分析图像所属的场景进行识别,自动将图像分类为白天场景类或夜晚场景类;然后针对不同场景图像使用不同的车牌定位方案进行处理。对夜间场景中的车牌采用二次定位法,而对白天场景中的车牌采用结合车体对称轴定位并考虑车牌区域文本特征的方法。实验结果显示,该方法对图像场景分类以及车牌定位的总体准确率都达到了95.7%。更多还原

【Abstract】 Accurate location of license plates in images plays an important role in automatic license plate recognition systems.A novel and effective method is proposed in this paper for automatic license plate location taking advantages of symmetry of the car body and employing color clustering.In this method,scene(night or day) of the image to study is first identified.For each type of scene, a specific algorithm is designed to locate the license plate in it.A double-location algorithm is implemented for night images,and another one based on symmetry finding and rules regarding text related characteristics in the region of license plate for day images.Experimental results show an accuracy of 95.7% for both image scene classification and license plate location.更多还原