摘要
提出一种基于对称邻域滤波的、面向复杂彩色图像的字符提取方法。该方法首先对原始彩色图像进行SNF图像增强,在此基础上得到图像边缘。然后,综合利用所得到的边缘图像及彩色图像进行基于边缘的连接体搜索,生成字符候选区域。最后,利用字符的纹理特征最终确定字符区,实验结果表明该方法是行之有效的。它可以在保留图像中真实边缘的同时,有效地将图像中内部区域的干扰点平滑掉,为后续算法的成功实施奠定基础。
In this paper, a text extraction method for the complex color image with image enhancement by Symmetric Neighborhood Filters（SNF） is proposed. Firstly, the original image is enhanced by SNF and the generate edge feature map on the enhanced image is obtained . The candidate text regions are then generated by merging the bounding blocks which are extracted by utilizing the edge-based connected-component searching method and taking the edge-divided color information into consideration. Finally, the texture and stroke feature of the text are used to eliminate the false candidates. Experimental results show this method can extract the text including Chinese and English characters accurately. It is the key point to ensure the success of extraction method that the original image is enhanced by SNF because SNF not only smoothes the interior of the image but keeps the true edges of the image.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2006年第6期771-775,共5页
Pattern Recognition and Artificial Intelligence
关键词
字符提取
对称邻域滤波
多特征融合
复杂场景
Text Extraction, Symmetic Neighborhood Filters, Fusion of Multiple Features,Complex Scene
