关键词: 维吾尔文, 手写体文本, 文本行分割, 重心, 邻域

Abstract: To deal with the issues of text lines segmentation in Uyghur handwritten documents, based on the size of connected components, this paper divides the text image into three categories. In order to get the location of main text-line, it proposes adaptive painting and thinning algorithm. Furthermore, it separates connected characters and assigns them to text lines. In addition, by using the neighborhood search algorithm based on center of gravity, it solves the belonging problems for remaining small strokes. Experimental results show that separately compared with those horizontal projection based, piecewise projection based, smearing based segmentation methods, this method has better text line segmentation results indeed.

Key words: Uyghur, handwritten documents, text line segmentation, center of gravity, neighborhood