Sobel算法在车牌识别系统中的改进与实现

Improvement and Realization of Sobel Algorithm in License Plate Recognition System

经典Sobel算法是图像边缘检测中常用的方法之一,但在车牌识别系统中也检测出了很多的噪声点和造成了车牌字符的断裂,加大了后期车牌提取和字符识别的难度,降低了车牌定位的精确度。针对车牌识别系统,对Sobel算子进行了改进,在实际运行中取得了良好的车牌定位效果和很强的抗干扰能力,并能在最大程度上保持字符的完整性。

Classic Sobel algorithm is commonly used in edge detection. However, it has detected a lot of noise points and created broken license plate characters, which increased the difficulty of extracting license plate and characters, recognition, and reduced the accuracy of license plate location. In this paper, Sobel algorithm has been improved for license plate recognition system. The improved Sobel algorithm has achieved good results of license plate location and it has good anti-interference capability. And it can maintain the integrity of the characters to a large extent.