计算机科学 ›› 2018, Vol. 45 ›› Issue (8): 268-271.doi: 10.11896/j.issn.1002-137X.2018.08.048
所属专题: 人脸识别
王燕, 王双印
WANG Yan, WANG Shuang-yin
摘要: 在采集人脸图像时,图像存在模糊性较大或者姿态变化幅度较大等问题,人脸准确识别的精度不高,为了提高人脸识别的准确率,提出一种基于卷积神经网络的信息增强的人脸识别算法。对采集的模糊人脸图像进行小波降噪处理,对降噪输出的图像进行自适应模板匹配,结合图像分割方法对人脸图像进行分块,利用Radon尺度变换的几何特征不变性对人脸的关键特征点进行信息增强,采用卷积神经网络分类器对增强的人脸特征点进行分类,实现特征点优化提取和人脸准确辨识。仿真结果表明,采用该方法进行人脸识别的准确性较好,且能满足大批量样本人脸快速识别的应用需求。
中图分类号:
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