基于模糊神经网络的人脸识别方法研究

人脸识别是模式识别研究领域的重要课题,具有广阔的应用前景。本文提出了基于模糊神 经网络的人脸识别方法。首先用最优鉴别分析方法提取人脸的最优鉴别矢量集,构成特征空间,然后在 特征空间中设计模糊神经网络分类器。在ORL人脸图象库上的实验结果表明了该方法的有效性。

Human face recognition is an important subject in the area of pattern recognition, which has a wide range of potential applications. We propose a face recognition method based on fuzzy neural networks. An optimal set of discriminant vectors are extracted by the optimal discriminant analysis method, which is formed into a feature space in which a fuzzy neural classifier is designed. Numerical experimental results on the facial database of ORL show the effectiveness of the proposed method.

国家自然科学基金资助项目(60072034);; 中国科学院沈阳自动化研究所机器人学研究室基金资助项目(RL200108);; 江苏省高校自然科学研究计划项目(01KJB52002)