计算机科学 ›› 2015, Vol. 42 ›› Issue (7): 305-308.doi: 10.11896/j.issn.1002-137X.2015.07.065
翟俊海 赵文秀
ZHAI Jun-hai ZHAO Wen-xiu
摘要： 概率神经网络分类器具有学习速度快、易于实现的特点,而且其输出是后验概率, 使得分类器的软组合变得容易。利用概率神经网络的这些特点,提出了软组合概率神经网络分类器人脸识别方法,该方法包括3步:(1)对人脸图像做不完全小波包分解；(2)用包含低频成分的小波子空间图像训练概率神经网络分类器；(3)用模糊积分组合训练好的分类器。将该方法与3种基于矩阵子空间的人脸识别方法在JAFFE、YALE、ORL和FERET 4个人脸数据库上进行了实验比较,结果表明,提出的方法在识别精度和CPU时间两方面均优于其他3种方法。
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