Pupil Dilation at Synthetic Off-Angle Iris Images
Elif Tuba Celik, Mahmut Özge Karakaya · 2016
With the development technology, the conventional stand-on iris recognition system is giving its place to a new biometrics research area; a stand- off iris recognition system. Previously encountered non-ideal images, which are captured from a controlled or constrained environment unintentionally, are put in the center of the new system. Thus; some degradation factors that affect the accuracy and performance of iris recognition system, such as pupil dilation, image acquisition angle, corneal refraction, focus, depth of blur, complex 3D iris texture, and limbus impact have come into prominence. In this paper, we investigate how pupil dilation variations affect the Hamming distance changes for different gaze angles. Based on the results from simulated experiments with the real iris textures, it is proven that pupil dilation effect has an influence on the Hamming distance score as the angle of iris images varies between frontal and off-angle.