Research Article | Open Access
ROBUST FACIAL RECOGNITION WITH MULTIMODAL FUSION
D SAMPATH, B SRUJANA, P.PRABHAKAR,
Pages: 935-939
Abstract
Physical and behavioral traits are used in biometrics to identify people. The main components of biometrics are identification and verification. If biometric data matches a claimed ID template, proof is complete. Biometric data can be compared to a stored pattern to verify identity. Previous studies used 2D and 3D facial recognition. More thorough composite matching is used in addition to feature-based matching. Hotelling transform changed the 3D face's texture and placement. SIFT and 3D SFR are used in rejection predictors. Before classifying known faces as distinctive, it must eliminate several choices. A Face Recognition System that can identify people by their face structure in a specific setting is the project's goal. A case study and several basic Matlab tests show that a multimodality technique employing 2D and 3D facial representation can identify faces. The validation index calculates facial recognition performance from erroneous acceptance and rejection rates.
Keywords
Biometrics, face recognition, spherical face representation, SIFT, ICP