Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Changchun University of Technology》 2018-04
Add to Favorite Get Latest Update

Face recognition based on improved VGGNet algorithm

YU Lichun;LIU Jinqing;Department of Information Technology,Fuzhou University of International Studies and Trade;College of Photonic and Electronic Engineering,Fujian Normal University;  
Based on small scale data set,an improved face recognition method based on VGGNet is proposed under limited computing power application scene.Experimental results show that the improved convolution neural network require less training samples but with faster training speed and more than 95%face recognition rate.
【Fund】: 福建省自然科学基金资助项目(2010J01327)
【CateGory Index】: TP391.41
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved