Text line segmentation based on local baselines and connected component centroids for Tibetan historical documents

Abstract

Text line segmentation is one of the key contents in document image analysis and recognition. Due to the complex situation of text images in Tibetan historical document, such as the coexistence of slanting and distortion of text lines, especially the adhesion between lines, text line segmentation has become a challenging task. In this paper, a new method of text segmentation for Tibetan historical document is proposed. This method first obtains the local baseline information of the text line, and then performs the detection and segmentation of the adhesion area. Finally, according to the barycentre coordinates of the connected component and the local baseline information, each connected component is assigned to the corresponding text line. The method avoids the effect of text line distortion on the segmentation of the stuck text line and greatly reduces the error rate of the adhesion text line segmentation and can effectively deal with the segmentation of slanted and distorted Tibetan sticky text lines.