Publication Type
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Article
Title
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Region-based feature extraction from non-cooperative iris images using CDF 9/7 filter bank
Author(s)
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Soubhagya Sankar Barpanda, Banshidhar Majhi, and Pankaj Kumar Sa
Journal
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Innovations in Systems and Software Engineering
Abstract
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In this paper, the authors have investigated the iris feature extraction technique using Cohen–Daubechies–Feauveau 9/7 (CDF 9/7) filter bank. Most of the iris recognition systems have been found to give near perfect performance in constraint environment. Unfortunately, the accuracy falls drastically when the constraints are relaxed during image acquisition process. These include dilation of pupil, occlusion due to eyelids and eye lashes, and most importantly non-orthogonal view of iris. These factors result in reduced accuracy of the overall system. In this work, a technique has been proposed to deal with segmentation failure and occlusion. The experimental studies deal with the superiority of CDF 9/7 filter bank over the frequency-based techniques.
Keywords
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Biometrics; Extraction; Feature extraction; Image acquisition; Image processing, Acquisition process; Energy feature; Iris biometrics; Iris feature extraction; Iris recognition systems; Non-cooperative; Non-orthogonal; Region-based, Filter banks