Scene Text Recognition Based on Positional Relation between Closed Curves
Scene Text Recognition Based on Positional Relation between Closed Curves
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DOI：
10.1109/aims.2014.51
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发表时间：
2014-11
期刊：
影响因子：
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通讯作者：
Yuji Waizumi;Kazuyuki Tanaka
中科院分区：
文献类型：
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作者：
Yuji Waizumi;Kazuyuki Tanaka
场景文本识别在研究界引起了广泛的关注。许多已提出的场景文本识别方法采用逐步过程，其包括文本提取阶段和识别阶段。在本研究中，为了消除文本抽取错误的风险，我们尝试建立一个不涉及文本抽取阶段的场景文本识别系统。在我们所提出的方法中，图像被视为一组封闭的曲线，和文本的提取和识别的同时，从图像通过组合的封闭曲线。通过实验，我们证明了我们提出的方法的识别精度。
Scene text recognition has attracted much attention in the research community. Many proposed scene text recognition methods adopt a step-by-step procedure, which includes a text extraction phase and a recognition phase. In this study, in order to eliminate the risk of text extraction error, we try to build a scene text recognition system that does not involve the text extraction phase. In our proposed method, an image is viewed as a set of closed curves, and text is extracted and recognized simultaneously from the image by combining the closed curves. Through experiments, we demonstrate the recognition accuracy of our proposed method.