Human Face Recognition Using Combination of ZCA Feature Extraction method and Deep Neural Network

被引：0
|
作者：
Tun, Naing Min [1 ]
Gavrilov, Alexander, I [1 ]
Paing, Pyae Phyo [1 ]
机构：
[1] Bauman Moscow State Tech Univ, Moscow, Russia
来源：
2019 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM) | 2019年
关键词：
face recognition; ZCA (zero-phase component analysis); ANN (artificial neural network); feature extraction;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Nowadays, there are deep learning-based face recognition systems with reliable accuracy rates. But these systems need high computational powers because they should do feature extraction. This research presents the consequences of recognition rates on the AT&T face database, using the hybrid methods of ZCA feature extraction and ANN in order to reduce computational power usage.
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页数：5
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