Feature Extraction for Handwritten Chinese Character by Weighted Dynamic Mesh Based on Nonlinear Normalization
Jun Hai Guo · Zhongwen xinxi xuebao · 2007
A new feature extraction method contributing to improvement of the performance of a handwritten Chinese character recognition system is presented.By using enhanced weighted dynamic meshes based on nonlinear normalization,this method not only avoids the zigzags and other undesirable side effects introduced in the original Yamada et al.'s nonlinear normalization method but also avoids additional feature normalization process in the original Lian-Wen Jin et al.'s and WU Tian-lei et al.'s dynamic mesh method.Experiment on HCL2000 shows that our method achieves superior performance.