Research on the Modeling of Fast Face Recognition Against Age Disturbance under Deep Learning

With the development of computer vision technology, especially the promotion of artificial intelligence and deep learning related technologies in the past two years, face recognition technology has made rapid progress. However, in view of complex background lighting, face posture, expression, and age changes, Face recognition technology still faces many challenges. Compared with the research on other interference situations, there are relatively few researches on face recognition against age interference. This paper aims to achieve cross-age face recognition, and based on deep learning to extract age-robust face features as the theme, to achieve rapid face recognition modeling against age interference.