基于自适应游程平滑算法的藏文文档图像版面分割与描述

Layout Segmentation and Description of Tibetan Document Images Based on Adaptive Run Length Smoothing Algorithm

版面分割是文档图像分析与识别过程中的重要基础步骤,为了探索适用于藏文文档图像版面分割与描述的方法,提出一种基于自适应游程平滑算法的研究方法。根据藏文文档图像的版面结构,利用K均值聚类分析得到适用于版面的游程阈值,进行游程平滑,寻找连通区域,实现版面分割;根据各版面元素的外轮廓特征,简单区分文本区域与非文本区域;利用藏文文本识别器识别文本区域,再用可扩展标记语言记录版面信息,实现版面描述。在藏文中小学教材文档和铅印版藏文文档图像上的实验表明,该方法能够取得较好的版面分析结果。

Layout segmentation is an important basic step in the process of document image analysis and recognition.In order to explore a suitable method for layout segmentation and description of Tibetan document images,a research method based on the adaptive run length smoothing algorithm is proposed.Firstly,according to the layout structure of Tibetan document images,K-means clustering analysis is used to get the run length threshold suitable for the layout,smooth the run length,find the connected component,and realize the layout segmentation.Then,according to the external contour characteristics of each layout element,the text area and nontext area are simply distinguished.Finally,the text area is recognized by a Tibetan text recognizer,and then the extensible markup language is used to record layout information and realize layout description.Experiments on Tibetan primary and secondary school teaching materials and stereotyped Tibetan document images show that this method can achieve good layout analysis results.