基于Hough变换的改进的纸币倾斜校正方法

An Improved Method for Banknote Tilt-correction Based on Hough-transform

纸币清分机采集图像是在纸币快速进纸过程的情况下实现,不可避免地会发生倾斜,这为后续的图像分割和识别带来了困难。针对图像中纸币边缘检测结果通常断裂为若干直线段的现象,提出了一种基于Hough变换的改进倾斜矫正算法,能够较准确地检测到图像的倾斜角度,从而实现纸币图像的倾斜矫正。

It was inevitable to cause skew in the process of banknote quick feeding in image collection,which may make it difficult for the following-up image segmentation and recognition.For the traditional edge detection method,the detected image may break into several straight segments.To solve this problem,an improved banknote tilt-correction method based on Hough-transform is proposed,which can detect the tilt angle accurately.