LDA Based on PCNN for Gaussian Noisy Face Recognition

Guan-nan He, Ze-hua Li, Fei-fei Sun, Rencan Nie, Hong-wei Ding
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引用次数: 7

Abstract

Recgnition rate of traditional face recognition algorithm would decline sharply under the condition of variance Gaussian noise. In order to deal with this problem, an algorithm of Pulse Coupled Neural Network (PCNN) combined with linear discriminant analysis (LDA) is put forward. The experiment results of the algorithm are analyzed and compared with that of Median Filter(MF) combined with LDA.
基于PCNN的LDA高斯噪声人脸识别
传统的人脸识别算法在方差高斯噪声条件下,识别率会急剧下降。为了解决这一问题,提出了一种结合线性判别分析(LDA)的脉冲耦合神经网络(PCNN)算法。对该算法的实验结果进行了分析,并与中值滤波与LDA相结合的结果进行了比较。
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