Face Recognition Based on Multiple Facial Features

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.

• Type: Conference
• Year: 2000
• Where: FGR
• Authors: Rui Liao, Stan Z. Li
• Keywords: Biometrics, Face Recognition, Facial Features, FGR 2000, Multiple Facial Features