Character string extraction by multi-stage relaxation

H. Hase, Toshiyuki Shinokawa, M. Yoneda, M. Sakai, H. Maruyama
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引用次数: 12

Abstract

An extraction algorithm for character strings is proposed. We first obtain a set of eight-connected components from a document image. For the components, we apply a relaxation method. The method makes mutual connections between components increase or decrease depending on the state of the neighboring components. While applying the relaxation method several times, the process proceeds from a local connection to a global connection, and finally character strings are extracted. We call this process multi stage relaxation. The advantages of this algorithm are that it does not need to nominate character components from an image beforehand, it is adaptive for character size and font, and it can also cope with a document which includes strings with various orientations. In our experiments we use a color image of a magazine cover and a monochromatic image of a graph. For the color image, the multi stage relaxation was executed for each binary image obtained by color segmentation. Lastly, we show the results of the experiments and discuss the effectiveness of our method.
基于多级松弛的字符串提取
提出了一种字符串提取算法。我们首先从文档图像中获得一组八个连接的组件。对于分量,我们采用松弛法。该方法使组件之间的相互连接根据相邻组件的状态增加或减少。在多次应用松弛方法的过程中,从本地连接到全局连接,最后提取字符串。我们把这个过程称为多阶段放松。该算法的优点是不需要预先从图像中指定字符组件,它可以自适应字符大小和字体,并且还可以处理包含不同方向字符串的文档。在我们的实验中,我们使用了杂志封面的彩色图像和图形的单色图像。对于彩色图像,对彩色分割得到的每张二值图像进行多阶段松弛。最后给出了实验结果,并讨论了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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