Abstract: In order to further reveal the current core countries, institutions, disciplines, research hotspots and frontiers in the field of face recognition, CiteSpace visual analysis software is used to retrieve 10 000 documents from a total of 15 494 documents in the global face recognition field. Visual processing from the perspectives of countries, disciplines, research institutions, hot keywords, etc. and analysis from two dimensions of technology and application. It is concluded that there are still problems in the application of face recognition technology under the condition of mask occlusion. The improvement of K-SVD(K-Singular Value Decomposition) algorithm discrimination and the fusion of face recognition technology are believed can solve to a certain extent by combining 3D image recognition, focusing on the characteristics of the test set, and integrating with multiple disciplines.

Key words: face recognition')">

face recognition, occlusion problem; CiteSpace software, visual map