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Lecture Notes in Computer Science
Automatically recognizing human faces with partial occlusions is one of the most challenging problems in face analysis community. This paper presents a novel string-based face recognition approach to address the partial occlusion problem in face recognition. In this approach, a new face representation, Stringface, is constructed to integrate the relational organization of intermediate-level features (line segments) into a high-level global structure (string). The matching of two faces is donedoi:10.1007/978-3-642-15558-1_36 fatcat:n7mp5xiug5dudg7jalfq4w6htq