An Iris Recognition Algorithm Combining Local Frequency Features with Local Orientation Features
Bin Li · Dianzi xuebao · 2007
Unlike other already existed iris recognition algorithms,a new efficient algorithm for iris recognition is proposed.In this approach,a bank of multi-scale and multi-orientation odd symmetric Gabor filters are used to capture local frequency information and local orientation information of the iris so as to produce discriminating features.This Algorithm can represent the feature spatial patterns of the iris more comprehensively and avoid the disadvantage caused by only capturing local frequency features or local orientation features.The method of iris matching is similar to a method computing the adopted city block distance,moreover according to the eyelid and eyelash's distribution,a matching template is used to reduce their disturbance to minimum.Compared with the Daugman's method,extensive experimental results demonstrate that the proposed method has an encouraging recognition performance.