Occluded Iris Recognition using SURF Features

Anca Ignat, Ioan Păvăloi

Abstract

In this paper we study the problem of the recognition process for iris images with missing information. Our approach uses keypoints related features for solving this problem. We present our recognition results obtained using SURF (Speeded-Up Robust Features) features extracted from occluded iris images. We tested the influence on the recognition rate of two threshold parameters, one linked with the SURF extraction process and the other with the keypoint matching scheme. The proposed method was tested on UPOL iris database using eleven levels of occlusion. The experiments show that the method we describe in this paper produces better results than Daugman procedure on all considered datasets and the results we previously obtained using SIFT features. Comparisons were also performed with iris recognition results that use colour for iris characterization, computed on the same databases of irises with different levels of missing information.

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Paper Citation


in Harvard Style

Ignat A. and Păvăloi I. (2021). Occluded Iris Recognition using SURF Features.In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-488-6, pages 508-515. DOI: 10.5220/0010255405080515


in Bibtex Style

@conference{visapp21,
author={Anca Ignat and Ioan Păvăloi},
title={Occluded Iris Recognition using SURF Features},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2021},
pages={508-515},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010255405080515},
isbn={978-989-758-488-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Occluded Iris Recognition using SURF Features
SN - 978-989-758-488-6
AU - Ignat A.
AU - Păvăloi I.
PY - 2021
SP - 508
EP - 515
DO - 10.5220/0010255405080515