A Face Recognition Method Based on LBP Feature for CNN
Face recognition is a kind of biometrics which based on the facial feature information of human.And face recognition has wide application value in computer information security,medical treatment,security monitoring,human-computer interaction and finance.Face feature extraction is the key of face recognition technology,and it is related to the selection and recognition of face recognition algorithm.Local Binary Pattern is a texture description method that describes the local texture feature of an image in a gray-scale range.In recent years,many researchers have successfully applied it to facial feature description and recognition in face recognition,and achieved remarkable results.Convolutional Neural Networks is one of the most representative network structures in deep learning technology,and it has achieved great success in the field of image processing and recognition.
face recognition Local Binary Pattern Convolution Neural Networks
Hongshuai Zhang Zhiyi Qu Liping Yuan Gang Li
School of Information Science & Engineering,Lanzhou University Technology Reconnaissance Detachment of Public Security Bureau Lanzhou Lanzhou,China
国际会议
重庆
英文
544-547
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）