计算机工程与应用Issue(8)：148-152,204,6.DOI:10.3778/j.issn.1002-8331.1407-0181
特征离散点计算在手写文本行分割中的应用
Using feature discrete-point computing in handwritten documents line segmentation
摘要
Abstract
Combined the empirical knowledge of image analysis with the concept of granular computing, feature discrete-point computing is summarized and developed in this paper, which is used in the line segmentation of natural handwritten Chinese documents. According to the structured problem solving framework of the feature discrete-point computing, a line segmentation method based on feedback row projection with sub-block is proposed, which are divided into four stages, including feature discrete-point’s selecting, sampling and optimizing, grouping and feedback, and line-edge optimizing. This method achieves better experimental results on Harbin Institute of Technology-Multiple Writers Database with faster segmenting speed, comparing with existing methods.关键词
特征离散点计算/行分割/反馈式分列行投影Key words
feature discrete-point computing/line segmentation/feedback row projection with sub-block分类
信息技术与安全科学引用本文复制引用
朱宗晓,杨兵..特征离散点计算在手写文本行分割中的应用[J].计算机工程与应用,2015,(8):148-152,204,6.基金项目
国家自然科学基金面上项目（No.60975021）；中央高校基本科研业务费专项资金项目（No.CZY14006）。 （）
