An Algorithm for Evaluating the Parameters Characterizing the Quality of the Image Field of the Iris by the Principal component analysis method

Abstract

Image contrast, area ratio, entropy, pupil dilation measure, occlusion measure, the ratio of iris and pupil measurements, iris image processing area measurement, and eccentric distance measurements in iris image biometric identification factors affect the quality of the iris image field. This work explored the issue of quality assessment of the characteristics describing the image of the iris provided for person recognition for this purpose. A calculation of the parameters determining the quality of the eye’s iris is offered. An algorithm for evaluating the quality of the iris by reducing the parameters describing the quality of the iris to a single parameter through Principal component analysis has been developed. Recommendations for the application of biometric technologies are presented.