Name
Abstract | ||
|---|---|---|
A novel multimodal biometric recognition algorithm based on complex kernel Fisher discriminant analysis (complex KFDA) is proposed. Complex KFDA exploits two phases to generalize KFDA and perform classification for the fusion feature set: complex KPCA plus complex LDA. As two distinct biometric modals, the features of iris and face are fused in parallel to test our algorithm. Experimental results show that the proposed algorithm achieves much better performance than other conventional multimodal biometric algorithms. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IAS.2009.68 | IAS |
Keywords | Field | DocType |
complex kernel,fisher discriminant analysis,distinct biometric modals,multimodal biometric recognition,complex kfda,conventional multimodal biometric algorithm,novel multimodal biometric recognition,better performance,proposed algorithm,complex kpca,complex lda,iris,classification algorithms,face recognition,kernel,face,feature extraction,fuses,iris recognition,kernel fisher discriminant analysis,databases,image fusion | Kernel (linear algebra),Iris recognition,Facial recognition system,Image fusion,Pattern recognition,Computer science,Kernel Fisher discriminant analysis,Speech recognition,Feature extraction,Artificial intelligence,Biometrics,Statistical classification | Conference |
Citations | PageRank | References |
2 | 0.37 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhifang Wang | 1 | 14 | 3.02 |
| Qiong Li | 2 | 68 | 10.69 |
| Xiamu Niu | 3 | 754 | 91.72 |
| Christoph Busch | 4 | 339 | 31.75 |