Face Recognition Based on Multiple Facial Features
Rui Liao and Stan.Z.Li
An automatic face recognition system based on multiple facial features is
described in this paper. Each facial feature is represented by a Gabor-based
complex vector and is localized by an automatic facial feature detection scheme.
Two face recognition approaches, named Two-Layer Nearest Neighbor (TLNN) and
Modular Nearest Feature Line (MNFL) respectively, are proposed. Both TLNN and
MNFL are based on the multiple facial features detected for each image and
their superiority in face recognition is demonstrated.