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Recognition of degraded characters on license plates

机译:识别车牌上的退化字符

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Abstract: We have studied a multi-frame image processing method for recognition of degraded car license plate images. In actual situations, various distortions such as geometric distortions or various blurs are imposed on recorded images. Therefore in order to apply the multi-frame image processing method to moving objects, it is necessary to correct geometric distortions. When images are blurred with out-of- focusing or motion blur, it is necessary to remove or suppress such distortions. In this report, we examined the geometric distortion correction and deblurring for multi- frame image processing and confirmed the effectiveness of the method. The example for real videotaped images is also shown in this report. As a result, it is recognized that the multi-frame image processing method is effective for recognizing characters on moving car license plates.!1
机译:摘要:我们研究了一种多帧图像处理方法来识别退化的车牌图像。在实际情况下,各种失真(例如几何失真或各种模糊)会施加到记录的图像上。因此,为了将多帧图像处理方法应用于运动对象,必须校正几何畸变。当图像因散焦或运动模糊而模糊时,有必要消除或抑制此类失真。在本报告中,我们检查了多帧图像处理的几何失真校正和去模糊,并确认了该方法的有效性。此报告中还显示了真实录像图像的示例。结果,认识到多帧图像处理方法对于识别移动的汽车牌照上的字符是有效的。!1

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