关键词: 人脸识别, 最大散度差鉴别分析, 模糊决策, 单训练样本

Abstract:

To improve the recognition performance of face recognition with single training sample，a face recognition method based on fuzzy decision and maximum scatter difference with single training sample is proposed in this paper.In this method，each training sample is portioned several blocks to increase the number of the element of the training sample set，on which the maximum scatter difference algorithm is performed to get the optimal projection matrix.Therefore，the features of the training sample and testing facial images can be obtained by projecting them on the optima projection matrix achieved above.During the recognition stage，the fuzzy decision is used to do the classification.Extensive experiment results on ORL and FERET illustrate the feasibility of the proposed method.

Key words: face recognition, maximum scatter difference, fuzzy decision, single training sample