Table 1.

Methods for personal authentication using finger vein recognition.

References	Method	Database fingers × samples per each	Performance
[6]	line-tracking	339 × 2 images	EER: 0.145%
[8]	manifold learning	164 × 70 images	EER: 0.8%
[9]	Radon transform	50 × 10 images	GAR: 99.2%.
[11]	Minutiae points	50 × 10 images	EER: 0.761%
[12]	mean curvature	125 × 9 images	EER : 0.25%
[13]	Maximum Curvature Points	7 × 14 images	GAR: 95%
[14]	wide line detector	10,140 × 5 images	EER: 0.87%
[15]	minutia points	816 × 10 images	EER: 1.91%
[20]	curvelets and local interconnection structure	400 × 8 images	EER: 0.128%
[21]	Local moment, middleological,Vein-shape	162 × 10 images	GAR: 99%
[22]	2-D Gabor filters	300 × 5 images	GAR: 99.31%.