Recognizing numbers from the low-resolution patterns in digital images

E. Tsomko, Hyoung-Joong Kim
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Abstract

In this paper, we suggest a new method for solving a problem of recognition numbers from low-resolution (LR) patterns in digital images. Having the digital photographs, for example, with the cars, we can recognize the numbers in the license plates of the cars, even if the plate patterns are still unclear after applying the Super-Resolution. The proposed method is based on statistical analysis and learning the features of the single LR digit pattern with the features of high-resolution (HR) one.
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从数字图像的低分辨率模式中识别数字
在本文中,我们提出了一种新的方法来解决数字图像中低分辨率(LR)模式的识别数字问题。例如,有了汽车的数码照片,我们可以识别汽车牌照上的数字,即使在应用超分辨率技术后,车牌图案仍然不清楚。该方法是基于统计分析和学习具有高分辨率特征的单个LR数字模式的特征。
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