摘要
基于车牌定位算法确定车牌和车标的位置关系,利用Hausdorff距离精确定位车标位置并对其进行数学形态学图像处理,边缘检测,连通域分析。对车标图像进行基于主成分分析的降维处理并对提取到的PCA特征进行归一化处理,最后用C-SVM支持向量机算法对提取到的特征进行识别。实验表明,上述算法具有精度高、识别效率高、速度快等优点。
Car emblem technique plays a key role in vehicle automatic recognition technique.To locate the car emblem with precision having important meaning of car emblem recognition.This paper pinpoint the region of the license plate by algorithm and roughly located the region of car emblem based on the relationship of license plate and car emblem.Then located the car emblem with precision by the distance of Hausdorff.On the base,processing the region by morphologic,edge detection,analysis of connectivity and pick up the PCA character by lowing the dimension of the image and unifying the PCA character.At last recognize the PCA character by the C-SVM algorithm.
出处
《工业控制计算机》
2011年第5期76-78,80,共4页
Industrial Control Computer
