Title :
Information fusion in face identification
Author :
Zhang, Wenchao ; Shan, Shiguang ; Gao, Wen ; Chang, Yizheng ; Cao, Bo ; Yang, Peng
Author_Institution :
Dept. of Comput. Sci., Harbin Inst. of Technol., China
Abstract :
Information fusion of multi-modal biometrics has attracted much attention in recent years. However, this paper focuses on the information fusion in single models, that is, the face biometric. Two different representation methods, gray level intensity and Gabor feature, are exploited for fusion. We study the fusion problem in face recognition at both the face representation level and the confidence level. At the representation level, both the PCA feature fusion and the LDA feature fusion are considered, while at the confidence level, the sum rule and the product rule are investigated. We show through experiments on FERET face database and our own face database that appropriate information fusion can improve the performance of face recognition and verification. This suggests that gray level intensity and Gabor feature compensate for each other, based on the feasible fusion.
Keywords :
biometrics (access control); face recognition; feature extraction; image representation; principal component analysis; visual databases; FERET face database; Gabor feature method; PCA feature fusion; face biometrics; face identification; face recognition; face representation level; face verification; gray level intensity method; information fusion; linear discriminant analysis feature fusion; multimodal biometrics; Biometrics; Computer science; Content addressable storage; Face recognition; Feature extraction; Fingerprint recognition; Pixel; Principal component analysis; Research and development; Spatial databases;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334686