A Review on Multimodal Face Pair Matching System

Abstract

A face recognition system can be thought as an identification or verification system. Face pair matching is a challenging task which aims to determine whether two face images represent the same person. Many times the face images being compared are having complicated facial variations and limited expressive information which becomes a difficult problem. To address these issues, the proposed approach concentrate on exploiting an additional set of face images called as cohort set. The proposed system is able to perform multimodal face pair matching using cohort information. The inputs to this system are pair of face images to be matched and the set of cohort face images. All cohort images are ranked separately based on pair of face images to generate two lists. Then cohort information are extracted from two sorted cohort list and combined with direct matching score of the two input face images to form modality. The final decision of matching is made by fusing all available face modalities