文献类型：会议论文

英文题名：Analysis and Application of Iteration Skeletonization Algorithm in Recognizing Chinese Characters Image

作者：Tingmei Wang[1]; Ge Chen[1]; Zhansheng Chen[1]

第一作者：王廷梅

机构：[1] Appl. Sci. & Technol. Inst., Beijing Union Univ., Beijing, China

第一机构：北京联合大学应用科技学院

会议日期：26-28 Dec. 2009

会议地点：Huangshan, China

语种：英文

外文关键词：character recognition - feature extraction - image recognition - image thinning - iterative methods - natural language processing

摘要：The paper studied several image skeleton extraction algorithms, such as Zhang-Suen, Rosenfeld and Pavlidis etc. And compared extraction effects based on different Chinese characters by making computer programs, and gave advice how to choose the best algorithm for recognizing a certain Chinese characters image, and then gave a conclusion that Zhang-Suen and Rosenfeld algorithms were the best algorithms for extracting Chinese characters skeletons.