文件名称:IStudyonLicenn
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智能运输系统中车牌识别技术得到了广泛应用 , 车牌分割是车牌识别的重要部分。基于彩色图像车牌分割与采用灰度图像车牌分割相比 , 可以有效消除阴影影响 , 同时车牌颜色也是车牌识别的一个参数。颜色分类类处理使用特征函数 , 可以减少颜色坐标转换运算 , 提高颜色分类速度。文中详细讨论中国车牌特征 , 给出车牌分割详细步骤。车牌区域判别采用信息融合技术。车牌倾斜矫正结合车牌倾斜特点 , 提出快速算法。
-License plate recognition technology has been widely applied in intelligent transport systems, license plate segmentation is an important part of the license plate recognition. Compared based on the color image license plate segmentation using gray-scale image license plate segmentation, you can effectively eliminate the shadow impact of the license plate colors is also a parameter of the license plate recognition. The color-coded class handles the characteristic function, can reduce the color coordinate conversion operator, to improve the speed of classification of color. Discussed in detail in the plate characteristics, given the license plate to split the detailed steps. Plate region distinguish the use of information fusion technology. The license plate tilt correction combined with the license plate to tilt the characteristics of the fast algorithm.
-License plate recognition technology has been widely applied in intelligent transport systems, license plate segmentation is an important part of the license plate recognition. Compared based on the color image license plate segmentation using gray-scale image license plate segmentation, you can effectively eliminate the shadow impact of the license plate colors is also a parameter of the license plate recognition. The color-coded class handles the characteristic function, can reduce the color coordinate conversion operator, to improve the speed of classification of color. Discussed in detail in the plate characteristics, given the license plate to split the detailed steps. Plate region distinguish the use of information fusion technology. The license plate tilt correction combined with the license plate to tilt the characteristics of the fast algorithm.
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IStudyonLicenn/基于彩色图像车牌分割研究.pdf
IStudyonLicenn
IStudyonLicenn
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