中图分类号： TN06；TP3 文献标识码： A DOI：10.16157/j.issn.0258-7998.200354 中文引用格式： 王高升. 人脸属性识别系统的设计与实现[J].电子技术应用，2021，47(4)：112-115，125. 英文引用格式： Wang Gaosheng. Design and implementation of face attribute recognition system[J]. Application of Electronic Technique，2021，47(4)：112-115，125.
Design and implementation of face attribute recognition system
Wang Gaosheng
National Computer System Engineering Research Institute of China，Beijing 100083，China
Abstract： At present, accurate face recognition has been widely used in real scenes, such as monitoring, access control, etc., and recognition only for face attributes is also widely used in entertainment, security and social media. Therefore, the paper is based on deep convolutional neural network MTCNN for face detection and Resnet50 network for face attribute recognition. At the same time, it uses Python language to design and develop a system that implements face attribute recognition application interface. Through data experiments, the system uses a face attribute recognition model based on deep convolutional neural networks to achieve 97.32%, 71.64% and 92.13% accuracy in identifying gender, age and ethnic attributes, respectively. At the same time, the face attribute recognition application system can run stably and has certain application value.
Key words : deep learning; convolutional neural network; face detection; face attributes recognition; application system development
