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A proposal of the effective recognition method for low-resolution characters from motion images

机译:一种有效的运动图像低分辨率字符识别方法的建议

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In this paper we propose a new effective method for low-resolution character recognition from motion images. This method extracts the feature directly from low-resolution images first, and reconstructs the high-resolution feature. Since low-resolution characters of motion images are recognized, a general idea is to reconstruct a high-resolution image first by using these low-resolution images, and it is extracted the feature from that high-resolution image. Feature extraction process of our proposed method has different view of the general idea. Our proposed method has higher accuracy than the general idea in low-resolution characters recognition. We show advantages of it by comparative recognition experiments under the database images and motion images.
机译:在本文中,我们提出了一种新的有效方法,用于从运动图像中识别低分辨率字符。该方法首先直接从低分辨率图像中提取特征,然后重建高分辨率特征。由于运动图像的低分辨率特征被识别,因此一般的思想是首先通过使用这些低分辨率图像来重建高分辨率图像,然后从该高分辨率图像中提取特征。我们提出的方法的特征提取过程对总体思路有不同的看法。在低分辨率字符识别中,我们提出的方法比一般概念具有更高的准确性。我们通过在数据库图像和运动图像下进行比较识别实验来显示它的优势。

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