关键词: 手写数字识别, 特征提取, Hilbert-Huang变换, 经验模式分解（EMD）

Abstract: A novel handwritten numeral recognition based on texture classification is presented.A handwritten numeral image is normalized to a fixed size and rotated by random angle degrees to create images which are used to form a texture image，then the handwritten numeral recognition is implemented by texture classification.The main frequency centers along multi-directions are extracted to form feature vector for a texture image and the minimum distance classifier is employed to classify the textures.Experiments show encouraging results.

Key words: handwritten numerals recognition, feature extraction, Hilbert-Huang transform, empirical mode decomposition