Abstract: We proposed an iris quality evaluation algorithm based on morphology and gray distribution of gray histogram. Through the sharpness, live detection based on binary morphology, region validity determination based on gray distribution in the gray histogram, and squint level based on ultraboundary deviation degree and strabismus eccentricity degree, it solved the problem of the low effective iris survival rate caused by  stringent discriminant index in continuous collection of sequence iris quality evaluation. While removing the unqualified images, the  proposed algorithm preserved iris which could be identified as far as possible, so as to improve the  effective iris survival rate, and time consumption was relatively short.

Key words: iris quality evaluation, binary morphology, region validity determination, ultraboundary deviation degree, strabismus eccentricity degree