Rapid and effective method of quality assessment on sequence iris image

Yi Huang; Zheng Ma; Mei Xie

doi:10.1117/12.749188

15 November 2007 Rapid and effective method of quality assessment on sequence iris image

Yi Huang, Zheng Ma, Mei Xie

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678620 (2007) https://doi.org/10.1117/12.749188
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Yi Huang, Zheng Ma, and Mei Xie "Rapid and effective method of quality assessment on sequence iris image", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678620 (15 November 2007); https://doi.org/10.1117/12.749188

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