Iris Recognition Based on Multi-channel Gabor Filtering and D-S Evidence Theory

To improve the accuracy and stability of iris recognition,this paper studies a feature extraction me-(thod via) Gabor filtering and modifies the iris features using D-S(Dempster-Shafer) evidence theory.Then,an iris re-(cognition) method based on multichannel Gabor filtering and D-S evidence theory is developed.Taking into consideration the influences of uncertain factors on iris recognition such as poses of the observed subject and environmental illumination changes during capturing iris images,the proposed method extracts iris features effectively through employing banks of Gabor filter at different frequencies and directions,and makes decision on iris features combining with D-S evidence theory.Experimental results indicate that the proposed method improves the performance excellently for iris images with noise,disturbance and environmental illumination changes,and increases the accuracy in recognition rate at an average 4.05% more than the conventional Gabor method.