Does independent component analysis perform well for iris recognition?

Efficient Iris Recognition Based on Optimal Subfeature Selection and Weighted Subregion Fusion

“…From this table, it is observed that method reported in [42] has better CRR than the proposed method on CASIA-V3 databases. Bouraoui et al [42] got those result by giving the accuracy that is defined as equal to 100 − (FAR + FRR)/2; however, this hypothesis may be unreasonable for performance evaluation.…”

“…We would like to point out here that in order to achieve unbiased comparisons results, some experimental results directly come from some published work, which are carried out on CASIA-V3 Interval and Lamp databases and shown in Table 3 . From this table, it is observed that method reported in [ 42 ] has better CRR than the proposed method on CASIA-V3 databases. Bouraoui et al [ 42 ] got those result by giving the accuracy that is defined as equal to 100 − (FAR + FRR)/2; however, this hypothesis may be unreasonable for performance evaluation.…”

“…Bouraoui et al [ 42 ] got those result by giving the accuracy that is defined as equal to 100 − (FAR + FRR)/2; however, this hypothesis may be unreasonable for performance evaluation. From Table 3 , we can see that our proposed methods have less EER than the methods reported in [ 1 , 6 , 7 , 9 , 13 , 42 ] preceded by the method proposed in [ 8 , 43 , 44 ] on the CASIA-V3 Interval and find that EER achieved in papers [ 4 , 11 , 45 , 48 ] has less than our methods but EER achieved in papers [ 11 , 45 ] has higher than that of the proposed methods this study on the CASIA-V3 Lamp database.…”