Table 1.

Comparison of palmprint or palm vein verification methods and the proposed method which fuses palmprint and vein pattern images.

Reference Paper	Database		Best Results
	Number of Palm Images	Number of Palms	Accuracy Classification Rate (%)	FRR (%)	FAR (%)
[2] (Dataset I)	1300	100		0.49	0.50
[2] (Dataset II)	5018	386		0.57	0.57
[4]	100		95.00
[5]	3056	191		1.00	0.03
[10]	9000	300	99.04
[12]	4800	160	99.25	0.75	0.69
[13]	1500	50	98.00	2.00	2.00
[17]	960	30		2.30	2.30
[19]*	1440	120		0.32	0.10
[29]	200	20	97.00
[30]	200	100	91.00
[31]	7200	200		1.64	1.64
[32]		100	99	1.00	0.29
Proposed method	6000	100	98.8	1.20	1.56

* FAR and FRR are estimated from Figure 11 in [19] by eye.