Author(s)

He Yuanzi

Corresponding Author

He Yuanzi

ABSTRACT

in recent years, with the continuous development of deep learning technology, convolutional neural network has been widely used in the field of pattern recognition research with its excellent feature extraction ability. Compared with traditional face recognition, convolutional neural network has many advantages. First of all, traditional face recognition is to extract features by artificial means based on different methods, which is not only slow, but also dependent on human subjectivity. Secondly, convolutional neural network can extract deeper facial features, which are more expressive.

KEYWORDS

Convolutional neural network, Face recognition, Typical applications