基于离散余弦变换和卷积神经网络的真实场景图像和视频文本检测算法

P. M. Osina, Yu. A. Bolotova, V. Spitsyn
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引用次数: 1

摘要

在这项工作中,我们提出了应用于图像和视频文本识别等任务的算法。该算法基于离散余弦变换和卷积神经网络的结合。描述了离散余弦变换在文本检测中的应用特点。我们列出了CNN和DCT结合的主要优点和缺点。在本文中,我们还将考虑卷积神经网络用于文本识别任务的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Text detection algorithm on real scenes images and videos on the base of discrete cosine transform and convolutional neural network
In this work we present algorithms which are applied in such task as text recognition on images and video. Proposed algorithm is based on the combination of discrete cosine transform and convolutional neural networks. Description of the applying features of discrete cosine transform for text detection is provided. We list the main advantages and disadvantages of CNN and DCT combination. Also in this article we are going to consider methods of convolution neural networks for the task of text recognition.
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