Fig. 1
Block diagram of multi-algorithmic palmprint authentication system.
Fig. 2
Sample palmprint images.
Fig. 3
Square-based segmented palmprint image.
Fig. 4
Circle-based segmented palmprint image.
Fig. 5
One level signal wavelet decomposition and reconstruction.
Fig. 6
2D DT-CWT decomposition.
Fig. 7
Palmprint features extracted using DT-CWT.
Fig. 8
Block diagram of the contourlet transform.
Fig. 9
Contourlet features of the palmprint image without preprocessing.
Fig. 10
Contourlet features of the palmprint image with preprocessing.
Table 1
Execution time calculation for contourlet transform based palmprint recognition system (1 sample of each user).
| Process type | Execution time (ms) |
|---|---|
| Preprocessing | 25 |
| Feature extraction | 275 |
| Pattern matching | 50 |
| Total execution time | 350 |
Table 2
Execution time calculation for DT-CWT based palmprint recognition system (1 sample of each user).
| Process type | Execution time (ms) |
|---|---|
| Preprocessing | 25 |
| Feature extraction | 250 |
| Pattern matching | 50 |
| Total execution time | 325 |
Table 3
Execution time calculation for multi-algorithmic palmprint recognition system (1 sample of each user).
| Process type | Execution time (ms) |
|---|---|
| Preprocessing | 25 |
| Feature extraction | 350 |
| Pattern matching | 50 |
| Score normalization | 100 |
| Fusion at score level | 250 |
| Total execution time | 775 |
Fig. 11
ROC curves of multi-algorithmic palmprint score level fusion in terms of GAR and FAR.
Fig. 12
ROC curves of multi-algorithmic palmprint score level fusion in terms of FRR and FAR.