Research Article
SIFT Based Vein Recognition Models: Analysis and Improvement
Table 2
Influence of selected CEs on the number of detected SIFT keypoints (PUT Vein Database).
| Capturing session | ā | Linear/nonlinear functional enhancement (LNFE) | Original | IN | GLS | CS | GC08 | LS | UM | HBF | HF | INE |
| S1 | 6 | 19 | 71 | 16 | 11 | 13 | 70 | 19 | 6 | 7 | S2 | 11 | 19 | 84 | 15 | 14 | 12 | 72 | 18 | 7 | 8 | S3 | 15 | 13 | 43 | 11 | 14 | 18 | 88 | 17 | 11 | 12 |
| Average | 11 | 17 (1.5) | 62 (5.6) | 14 (1.3) | 12 (1.1) | 15 (1.4) | 86 (7.8) | 18 (1.6) | 9 (0.8) | 10 (0.9) |
| Image set | HE and its variants (HEs) | Hierarchical enhancement models (HEM) | Original | HE | AHE | CLAHE | CLHE | IHE | DHE | RASF | HHE | HEHBF |
| S1 | 6 | 24 | 333 | 103 | 22 | 97 | 449 | 88 | 110 | 52 | S2 | 11 | 30 | 350 | 29 | 31 | 116 | 385 | 82 | 135 | 52 | S3 | 15 | 38 | 286 | 70 | 35 | 132 | 406 | 113 | 115 | 83 |
| Average | 11 | 33 (3.0) | 322 (29.3) | 59 (5.4) | 31 (2.8) | 127 (11.5) | 426 (38.7) | 89 (8.1) | 127 (11.5) | 69 (6.3) |
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