In this paper

in order to enhance the classification information of an image

we use band pass filtering to preprocess face images

improve the sorting performance of singular value (SV) feature . We give a group of circular filter functions

use genetic algorithm to select the frequency bands of larger divisibility value and to estimate the parameters of circular filter functions

and design the expression of chromosome and the solution of fitness. Experiments prove that by selecting the frequency bands the sort results of SV features can be improved apparently

and by estimating the parameters it can be improved much more apparently and computation complexity is relatively larger. Our method can also be adapted to the other algebraic features.