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The maximum recognition rate was obtained for α=0.4.

The results are significantly better when feature selection algorithm is utilized and obtain maximum recognition rate of 99.30%.

The results are depicted in Table 9 having a maximum recognition rate of 95.80% and FNR 4.20%.

From Figure 6 we see that both methods reach a maximum recognition rate of 98% when using multiple bands.

The results are depicted in Table 11 having a maximum recognition rate (RR) of 99% on feature selection algorithm and also reduces the FNR up to 1%.

In addition, Table 10 provides the mean, standard deviation, maximum and minimum recognition rate obtained for every experiment (for all reduction rates) as well as the overall statistic for every classifier.

Nevertheless, the authors pointed out the important fact that the recognition rates of a biometric system correlate with the amount of information which can be extracted, retaining maximum entropy.

Table 7 Recognition rates comparison Exp.

It produced a recognition rate that was at least 0.10 greater than the recognition rate for inputs without TSHDTP where the range for recognition rates was 0.13.

And again, our focus is on addressing recognition under scale changes, not just improving recognition rates.

The performance of the face recognition methods considered are sorted by their rank-1 recognition rates.