An Example-based Method of Touching String Segmentation

摘要：

In the work, an example-based method of touching string segmentation is proposed. Using Markov random field, the candidate patches based on the compatibility of the neighbour patches are selected. The outputs of the MRF after the iterative belief propagation form a segmentation probability map. The cut position is extracted from the map. Experiment results are presented and demonstrate the effectiveness of our algorithm.

关键词： optical character recognition touching string segmentation markov random field belief propagation

作者: Hong Zhao Gang Yang Yong Ma Long Liu

作者单位: College of Mathematics and Computer ScienceHebei University071002 Baoding China Collge of Chemistry and Environmental Science Hebei University 071002 Baoding China College of Life ScienceHebei University071002 Baoding China

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 114-118

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）