关键词: 支持向量机, 图像融合, 主元分析, Fisher鉴别分析, 数字信号处理（DSP）

Abstract: The paper proposes a multi-feature and multi-classifier fusion algorithm for image recognition called Support Vector Machine（SVM） information fusion.First，the paper applies three different algorithms to the feature extraction：PCA，SVM，LDA.The outputs of facial expression classifier based on three expression representations are input to SVM information fusion to get facial expression recognition.For hardware realization is few，this paper uses the DAVINCI DSP serial productions of TI company to realize the SVM information fusion algorithm scheme based on parallel structure.It discusses the process of algorithm realization by DSP.The actual results prove that SVM information fusion algorithm for expression recognition is effective and can be realized by DSPs.

Key words: Support Vector Machine（SVM）, image fusion, Principal Component Analysis（PCA）, Fisher Linear Discriminant Analysis（Fisher LDA）, Digital Signal Processing（DSP）