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Text detection algorithm on real scenes images and videos on the base of discrete cosine transform and convolutional neural network

机译: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

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摘要

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.
机译: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。提出的算法基于离散余弦变换和卷积神经网络的组合。提供了离散余弦变换用于文本检测的应用特征的描述。我们列出了CNN和DCT组合的主要优点和缺点。同样在本文中,我们将考虑用于文本识别任务的卷积神经网络方法。

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