Share Email Print
cover

Proceedings Paper

Rapid and effective method of quality assessment on sequence iris image
Author(s): Yi Huang; Zheng Ma; Mei Xie
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

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.

Paper Details

Date Published: 15 November 2007
PDF: 9 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678620 (15 November 2007); doi: 10.1117/12.749188
Show Author Affiliations
Yi Huang, Univ. of Electronic Science and Technology of China (China)
Zheng Ma, Univ. of Electronic Science and Technology of China (China)
Mei Xie, Univ. of Electronic Science and Technology of China (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

© SPIE. Terms of Use
Back to Top