Table 1: Methods for personal authentication using finger vein recognition.

ReferencesMethodDatabase fingers × samples per eachPerformance

[4]Linetracking 3 3 9 × 2 imagesEER: 0.145%
[5]Mean curvature 1 2 5 × 9 imagesEER: 0.25%
[13]Wide line detector 1 0 , 1 4 0 × 5 imagesEER: 0.87%
[14]Statistical vein energy 1 0 0 × 1 0 imagesCCR: 98.7%
[15]Moment invariants 5 0 × 4 imagesEER: 8.93%
[16]Sliding window matching 7 6 × 6 imagesEER: 0.54%
[10]Manifold learning 1 6 4 × 7 0 imagesEER: 0.8%
[7]PCA + BP network 1 0 × 1 0 imagesCCR: 99%
[11]PCA + LDA + SVM 1 0 × 1 0 imagesCCR: 98%