一种stroke滤波器文字分割算法

New Algorithm for Text Segmentation Based on Stroke Filter

为解决复杂背景中准确地进行文字分割的问题,提出了一种应用stroke滤波器进行文本分割的新方法。首先进行stroke滤波器的合理设计,并应用所设计的stroke滤波器来判别文本的彩色极性,得到初次分割的二值图。然后进行基于区域生长的文字分割。最后,应用OCR(optical character recognition)模块提高文本分割的整体性能。将提出的算法与其他算法进行了比较,结果表明,所提算法更为有效。

In order to solve segment text accurately and robustly from a complex background, this paper proposed a new algorithm for text segmentation in images by using a stroke filter. First, we described the stroke filter briefly based on local region analysis. Second, the determination of text color polarity and local region growing procedures were performed based on the response of the stroke filter. Finally, the feedback procedure by the recognition score from an optical character recognition （OCR） module was used to improve the performance of text segmentation. The proposed algorithm was compared with other algorithms. The experimental results demonstrate that the proposed algorithm obtaines satisfactory results.