A Convolutional Neural Network based on TensorFlow for Face Recognition

摘要：

　　Face recognition is a hot research field in computer vision,and it has a high practical value for the detection and recognition of specific sensitive characters.Research found that in traditional hand-crafted features,there are uncontrolled environments such as pose,facial expression,illumination and occlusion influencing the accuracy of recognition and it has poor performance,so the deep learning method is adopted.On the basis of face detection,a Convolutional Neural Network(CNN)based on TensorFlow,an open source deep learning framework,is proposed for face recognition.Experimental results show that the proposed method has better recognition accuracy and higher robustness in complex environment.

关键词： face recognition deep learning CNN Tensorflow

作者: Liping Yuan Zhiyi Qu Yufeng Zhao Hongshuai Zhang Qing Nian

作者单位: School of Information Science & Engineering,Lanzhou University Technical Reconnaissance Detachment of Public Security Bureau Lanzhou Lanzhou,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 525-529

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）