关键词: 特征离散点计算, 行分割, 反馈式分列行投影

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.

Key words: feature discrete-point computing, line segmentation, feedback row projection with sub-block