Iris matching similarity will be affected by some fluky and unfixed features among iris feature templates

that make iris classification false rate(include false accept rate and false reject rate)increase.In order to resolve this problem

a stable feature extraction algorithm is proposed in this paper

the stable features of an iris can be extracted from its several images

then iris feature template can be built based on these stable features

thus

iris feature template can be used for iris classification.Simulation results show that the selected stable features achieve quite high classification accuracy and the proposed algorithm is effective for improving iris recognition performance on the CASIA Iris database.