灰度图像中字符切分方法的研究

A Study on Segmentation Method for Gray Document Image

字符切分目前已经成为限制OCR技术发展的瓶颈 ,对于图像质量较差、中英文混排和背景色变化的文本图像 ,传统切分方法造成的切分错误使得文字识别率大大降低。针对这些问题 ,本文提出了新型文字切分方法。该方法先将灰度图像的灰度值进行分级处理 ,再根据分级连通域的概念把整个图像构造成树状结构 ,然后确定主层次级别 ,根据一定的规则在部分节点上进行合并、分割等进一步处理 ,最后得到最优的切分结果。实验结果表明 。

In order to overcome the weakness of conventional segmentation algorithm in OCR, this paper presents a new segmentation method for gray document image. Important features of the new method include grading of the grayscale of pixels in image and construction of a tree structures for the whole document image. By dividing this trees branches and leaves, characters, pictures and forms can be correctly segmented. The experiment results showed that this method is very effective for document with both Chinese and English characters or document with different backgrounds.