As eyelid and eyelashes are likely to disturb iris texture

the extent cannot be predicted before acquiring iris image.Some fluky and unfixed features are caused by the yawp in feature templates

which make iris classification false rate increase.In order to resolve this problem

a iris recognition algorithm based on multiple region combination is proposed in this paper

iris image that is not liable to be disturbed relatively is separated into four subarea

then the four similarities of corresponding subarea are calculated in two image

features of the closest subarea are considered as the judgment that is used to carry out classification.It overcomes previous limitation brought by selecting only a fixed position to extract features.Results show that proposed means achieves quite high accuracy

it is efficient for boosting up adaptability to image quality and improving iris recognition performance on CASIA iris database.