Research Article
Finger Vein Recognition Based on (2D)2 PCA and Metric Learning
Table 1
Methods for personal authentication using finger vein recognition.
| References | Method | Database fingers × samples per each | Performance |
| [4] | Linetracking | images | EER: 0.145% | [5] | Mean curvature | images | EER: 0.25% | [13] | Wide line detector | images | EER: 0.87% | [14] | Statistical vein energy | images | CCR: 98.7% | [15] | Moment invariants | images | EER: 8.93% | [16] | Sliding window matching | images | EER: 0.54% | [10] | Manifold learning | images | EER: 0.8% | [7] | PCA + BP network | images | CCR: 99% | [11] | PCA + LDA + SVM | images | CCR: 98% |
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