Title :
A method to combine visual and infrared face image verification systems
Author :
Choi, Byung-Gue ; Kim, Youngsung ; Toh, Kar-Ann
Author_Institution :
Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul
Abstract :
This paper presents a score level fusion of visual and infrared face image verification systems. A high dimensional random projection is first applied to the raw visual and infrared face images to extract useful information relevant to each identity. This is followed by a dimension reduction using eigenfeature regularization and extraction. The resultant templates are then compared for decision scores generation. Finally the scores from the visual and infrared face image verification systems are fused by an error rate minimization formulation. Our empirical observation shows encouraging results regarding the effectiveness of the fusion.
Keywords :
eigenvalues and eigenfunctions; face recognition; feature extraction; infrared imaging; eigenfeature extraction; eigenfeature regularization; infrared face image verification systems; visual face image verification systems; Biomedical optical imaging; Biometrics; Covariance matrix; Data mining; Error analysis; Face recognition; Infrared imaging; Principal component analysis; Robotics and automation; Testing; Face Recognition; Multimodal Biometrics; Random Projection; Scores Fusion;
Conference_Titel :
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location :
Hanoi
Print_ISBN :
978-1-4244-2286-9
Electronic_ISBN :
978-1-4244-2287-6
DOI :
10.1109/ICARCV.2008.4795559
