Name
Abstract | ||
|---|---|---|
In this paper, we present a face and palmprint multimodal biometric identification method and system to improve the identification performance. Effective classifiers based on ordinal features are constructed for faces and palmprints, respectively. Then, the matching scores from the two classifiers are combined using several fusion strategies. Experimental results on a middle-scale data set have demonstrated the effectiveness of the proposed system. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/CVPR.2007.383522 | 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8 |
Keywords | Field | DocType |
face recognition,image classification,automation,feature extraction,authentication,sun,biometrics,image resolution,face detection,information security,national security,lighting,pattern recognition | Facial recognition system,Computer vision,Authentication,Pattern recognition,Computer science,Ordinal number,Feature extraction,Automation,Artificial intelligence,Biometrics,Face detection,Contextual image classification | Conference |
Volume | Issue | ISSN |
2007 | 1 | 1063-6919 |
Citations | PageRank | References |
3 | 0.39 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rufeng Chu | 1 | 560 | 27.44 |
| Shengcai Liao | 2 | 2582 | 98.34 |
| Yufei Han | 3 | 89 | 9.75 |
| Zhenan Sun | 4 | 2379 | 139.49 |
| Stan Z. Li | 5 | 8951 | 535.26 |
| Tieniu Tan | 6 | 11681 | 744.35 |