Face Recognition Based On Deep Learning

Face recognition is a kind of biometric identification technology based on human facial feature information.Face recognition system consists of four parts: face image acquisition and detection,face recognition preprocessing,face image feature extraction and matching and recognition.Face recognition technology is a typical application of artificial intelligence.Face recognition has been applied in some industries,such as exit and entry border inspection and criminal investigation in the field of public security,scenes of airports,railway stations and bus stations in the field of transportation,face attendance in the education industry,dormitory access management,kindergarten pickup and so on.There is great potential as a gateway to people and intelligence.Under the policy support,China's artificial intelligence in the past few years in the domestic speed,technology giants cluster layout,more and more industrial capital began to pay attention to face recognition.Face recognition technology is gradually applied in smart city,public safety,rail transit,government governance,transportation and other industries.The unique charm of human vision system drives researchers to try to simulate the human's ability to collect,process,analyze and learn 3d world images by visual sensors and computer software and hardware,so as to make computer and robot systems have intelligent visual functions.Over the past 30 years,scientists from many different fields have been trying to understand the secrets of biological vision and nervous system from multiple perspectives,so as to benefit mankind with their research results.Since the second half of the 20 th century,computer vision technology has developed gradually in this context.At the same time,with the extensive use of software and hardware technologies related to digital images in people's lives,digital images have become an important component of information sources in contemporary society,and the demand and application of various image processing and analysis also continuously promote the innovation of this technology.Computer vision technology is widely used.Digital image retrieval management,medical image analysis,intelligent security,human-computer interaction and other fields have been involved in computer vision technology.This technology is an important part of artificial intelligence technology and the frontier of computer science.After the continuous development in recent years,has gradually formed a set of digital signal processing technology.Computer graphics and image,information theory and semantics are integrated technologies,and have strong marginal and interdisciplinary.Among them,face detection and recognition is currently a hot research topic in image,and it is also a branch of biometric recognition that attracts the most attention.