文章基本信息

标题：Face Recognition based on Deep Neural Network
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作者：Li Xinhua ; Yu Qian
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：10
页码：29-38
DOI：10.14257/ijsip.2015.8.10.04
出版社：SERSC
摘要：In modern life, we see more techniques of biometric features recognition have been used to our surrounding life, especially the applications in telephones and laptops. These biometric recognition techniques contain face recognition, fingerprint recognition and iris recognition. Our work focuses on the face recognition problem and uses a deep learning method, convolutional neural network, to solve it. And we use the Sobel operator to improve our result accuracy. LFW dataset is used for training and testing which gets a considerable result. And we also test our system on other face dataset, which also has a high accuracy on the recognition
关键词：face recognition; convolutional neural network; Softmax function; Sobel ; operator