基于小波分析的车牌定位方法研究

Yunyang Ye, Wenming Chen, Huang Junda, Wenbin Zou
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引用次数: 5

摘要

车牌自动识别在智能交通系统和公共交通安全系统中得到了广泛的应用。提出了一种基于车牌特定纹理特征的定位方法,利用小波分析对车牌进行定位。然后通过小波对粗定位后的车牌图像进行一维尺度分解,提取车牌图像的水平和垂直细节,对车牌图像进行二值化处理。然后分别在水平方向和垂直方向对图像的水平和垂直细节进行投影,最后通过投影图找到车牌的具体位置。我们在不同的条件下进行了一系列的实验,实验结果表明本文提出的定位方法是有效和成功的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on localization method of vehicle license plate based on wavelet analysis
the License plate automatic recognition has been extensive applied in the intellectual traffic system and public transit security system. In this paper, a kind of location method based on the specific texture character of license plate is presented, using wavelet analysis for License Plate location. Then we do one-dimensional scale decomposition to the license plate image after coarse positioning through the wavelet, extracting the horizontal and vertical details of the license plate images, and binarization of the license plate image. Then we project the horizontal and vertical details of the images in horizontal and vertical direction respectively, finally we can find the specific location of license plates through the projection drawing. We have carried out a series of experiments under different conditions, the experiment results show that the location method presented in this paper is effect and successful.
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