Table 4.
Comparing results of uni-biometric and multi-instance fingerprints recognition system for 5 kernel functions with two strategies of feature fusion
| Fingerprint multi-instance recognition system | ||||||
|---|---|---|---|---|---|---|
|  | ||||||
| Database | Kernel function | Gaussian (%) | PolyPlus (%) | Polynomial (%) | Linear (%) | Hamming (%) | 
| Uni-biometric Left thumbprint | Gabor Dim=73960 | 57% | ||||
| Gabor + KLDA Dim-150 | 57 | 71 | 71 | 72 | 75 | |
| Gabor + KPCA Dim-150 | - | 64 | 64 | 63 | - | |
| Uni-biometric Right thumbprint | Gabor Dim=73960 | 54 | ||||
| Gabor + KLDA Dim-150 | 54 | 60 | 60 | 67 | 69 | |
| Gabor + KPCA Dim-150 | - | 60 | 61 | 67 | - | |
| Multi-instance fusion strategy | Serial Dim=147920 | 67 | ||||
| KLDA DM=80 | 71 | 86 | 86 | 87 | 87 | |
| KPCA Dim=80 | - | 69 | 73 | 72 | - | |
LDA – Linear discriminant analysis; KLDA – Kernel LDA