Iris classification based on its quality

Abstract

This paper proposes an iris classification method based on the iris image quality. Quality of an iris image is modeled as a function of the attributes like focus, motion blur, occlusion, contrast and illumination, specular reflection and dilation. Values of these attributes are combined using a support vector machine (SVM) to provide the overall quality class of the image. © 2013 Springer-Verlag.