Researchon Iris Recognition Algorithm
Liping Liu · Jisuanji fangzhen · 2011
Researching iris recognition problem.The tradition algorithm cannot eliminate the effects of translation,rotation and scaling on iris recognition,and one-dimensional Gabor loses two-dimensional features,which result in low iris recognition rate.An improved algorithm of iris identification is proposed in this paper.Firstly,the method uses coarse and pure position to obtain iris position,normalizes iris images based on histogram equalization enhance images texture,then replaces one-dimensional iris texture feature extraction with two-dimensional log Gabor filter,which can overcome the defect that one-dimensional log Gabor loses two-dimensional information in extracting and coding the features,and finaly,obtains recognition results from matching.Simulation experiments are carried out with CASIA iris data.The results show that,compared with the typical iris identification methods,this method can improve the accuracy of iris identification,the recognition rate is increased,and the method is prospect in the field of iris recognition.