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

fYear

2008

fDate

17-20 Dec. 2008

Firstpage

440

Lastpage

445

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICARCV.2008.4795559

Filename

4795559