This paper proposes a multiple-step method of quality assessment on sequence iris images. Based on the spatial domain
and frequency domain of image feature-vector space, the method sets different criteria in different steps to eliminate
poor-quality images: firstly to judge the intensity and clarity of iris images roughly; secondly to preprocess iris images
by making morphological operation, extract the region of interest(ROI) which covers pupil by blocking image and then
make binary-conversion of iris image and locate pupil; thirdly to select different ROI, analyze the factors affecting image
quality, such as defocus blur, motion blur, eyelid closure, eyelashes shelter, dynamic characteristics of eyeball, etc., and
eliminate substandard images from the target sequence; lastly to set a comprehensive criteria to select the best quality
image from the sequence. The method is verified by 300 sequences of iris images and experimental results show that
only through locating pupil instead of utterly locating the outer edge of iris can this method quickly and precisely judge
whether iris is sheltered and blurred or not, and that each of its steps can almost eliminate substandard images, thus not
only reducing the number of iris images to be assessed but also saving the time of processing images.
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