Abstract

Abstract: This paper presents a wisdom mapping approach to dissect the thematic elaboration of face recognition exploration. For this reason, different bibliometric tools are combined (Performance analysis, wisdom mapping and Coword analysis) to identify the most important, productive and loftiest- -impact sub fields. also, different visualization tools are used to display a graphical vision of the face recognition field to determine the thematic disciplines and their evolutionary geste. . Eventually, this study proposes the most applicable lines of exploration for the face recognition field. Findings indicate a huge increase in face recognition exploration since 2014. Mixed approaches revealed a great interest compared to original and global approaches. In terms of algorithms, the use of deep literacy styles is the new trend. On the other hand, the illumination variation impact on face recognition algorithms' performances is currently, the most important and impacting challenge for the face recognition field.

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