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A New Fast Algorithm to Rectify Tilt Image of Vehicle License Plates

机译:一种新的快速算法来整流车辆牌照倾斜图像

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In the vehicle license plate recognition system (LPR), the license plate image would inevitably be tilted to an extent. A tilt image brings difficulties for further accurate segmentation and identification of characters, eventually affects the recognition accuracy greatly. The traditional method which is based on Hough transform, in many situation, often can not accurately and promptly rectify the plates for it needs a great amount of calculation, so the overall result is unsatisfactory. In this paper, a new algorithm based on geometric region is used to collect the plates fast and accurate by rotating license plates, seeking for the minimum geometry region. The experimental results show that this method can detect the angle of tilt plates with simple calculation and high precision, which is better than the traditional algorithm based on Hough transform.
机译:在车辆车牌识别系统(LPR)中,牌照图像不可避免地将在某种程度上倾斜。倾斜图像带来难以进一步准确的分割和识别字符的困难,最终大大影响识别准确性。基于Hough变换的传统方法,在许多情况下,通常不能准确地迅速纠正平板,需要大量的计算,因此整体结果是不令人满意的。在本文中,通过旋转牌照,用于旋转牌照,寻求最小几何区域的基于几何区域的新算法。实验结果表明,该方法可以通过简单计算和高精度检测倾斜板的角度,这比基于Hough变换的传统算法更好。

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