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,该方法能够取得比常规切分方法更好的切分效果。

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.