基于CNN的图像文本检测和脚本识别

CR Ranjitha, S. Lekshmy, Jayesh George
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引用次数: 1

摘要

对于人类来说,文本是最重要的知识来源之一。图像中的文本检测一直是工业界和学术界研究的一个有趣的计算机视觉课题。在改进现有方法和建立新方法方面已经做了很多努力。滑动窗口和连接组件系统是更经典的解决方案。本文讨论了几种文本检测方法。本文讨论了基于卷积神经网络的文本检测与识别。脚本识别是通过整合本地cnn和全球cnn来完成的。
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 and Script Identification from Images using CNN
For humans, text is one of the most significant sources of knowledge. Detection of text in images has been an interesting computer vision topic in both industrial and academic study. There has been a lot of effort made into improving existing methods and establishing new ones. Sliding windows and connected component systems are more classic solutions.In this paper we are discussing some text detection methods.In this paper we are discussing text detection and identification based on convolutional neural network.Script identification is done by integrating local cnn and global cnn.
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