Research on the Handwriting Identification Based on the Energy Resolution

摘要：

Feature extraction and identification is the key part of handwriting identification. In this paper, the testing handwriting and the training handwriting samples were preprocessed, and the characters were divide into the single ones, and then the single handwriting image was divided into M*N continuous meshes to extract the average gray level.which marked energy distribution.The eigenvector was structured, the comparability measurement function was constructed to match the character, the number of mesh is changed dynamically, and the optimal match result is searched. The experiments proved that the method improves the precision of handwriting recognition effectively

关键词： handwriting recognition mesh energy resolution

作者: Peng Taile Ding Youdong Shen Ke

作者单位: School of Computer science and technology, Huaibei Coal Industry Teachers College, Huaibei, Anhui, 2 School of Computer Engineering and Science,Shanghai University, Shanghai 200072 P.R.China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 376-378

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）