关键词: RBF神经网络, 粗分类, 四边码, 粗网格

Abstract: Coarse classification is the key to improve recognition speed.An improved coarse classification scheme based on RBF（Radial Basis Function） neural network for Chinese character is presented in this paper.Four-side code feature and gross meshed feature are respectly applied as coarse feature to compare in this experiment.The GB2312-80 first-level Chinese character samples including printed and handwritten form are objects in this experiment.Experiment results show that proposed method has excellent performance on coarse classification in contrast to Euclidean distance as classifier used in conventional method.

Key words: Radial Basis Function（RBF） neural network, coarse classification, four-side code, gross meshed feature