文件名称:Study.on.License.Plate.Segmentation.Based.on.Color
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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。-Intelligent Transport System in the license plate recognition technology has been widely applied, the vehicle registration license plate segmentation is an important part of identification. License Plate Based on Color Image Segmentation and the use of gray-scale image segmentation compared to plate, you can effectively remove the shadow, while the color plates License Plate Recognition is also a parameter. Color classification to deal with the use of characteristic function, can reduce the color coordinate transformation operation, improve the speed of color classification. Discussed in detail the characteristics of the Chinese license plate, license plate segmentation gives the detailed steps. License plate region using information fusion techniques discriminant. License plate license plate combination of slant correction tilt characteristics of fast algorithm.
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。-Intelligent Transport System in the license plate recognition technology has been widely applied, the vehicle registration license plate segmentation is an important part of identification. License Plate Based on Color Image Segmentation and the use of gray-scale image segmentation compared to plate, you can effectively remove the shadow, while the color plates License Plate Recognition is also a parameter. Color classification to deal with the use of characteristic function, can reduce the color coordinate transformation operation, improve the speed of color classification. Discussed in detail the characteristics of the Chinese license plate, license plate segmentation gives the detailed steps. License plate region using information fusion techniques discriminant. License plate license plate combination of slant correction tilt characteristics of fast algorithm.
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基于彩色图像车牌分割研究.pdf