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. 2021 Feb 18;21(4):1434. doi: 10.3390/s21041434

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© 2021 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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A pictorial example to show how to recover six saliency points for estimating inner boundary. (a) The iris image whose upper part is occluded by the eyelid; (b) the iris mask ROI (derived from the proposed IRUNet) and the left-most, right-most, top-most, and bottom-most endpoints of ROI; (c) the two saliency points on the upper part of ROI is derived by finding the intersection between the ROI and the scan line, which has equal distance to the top-most and left-most endpoint; (d) the six saliency points recovered by the proposed method.

A pictorial example to show how to recover six saliency points for estimating inner boundary. (a) The iris image whose upper part is occluded by the eyelid; (b) the iris mask ROI (derived from the proposed IRUNet) and the left-most, right-most, top-most, and bottom-most endpoints of ROI; (c) the two saliency points on the upper part of ROI is derived by finding the intersection between the ROI and the scan line, which has equal distance to the top-most and left-most endpoint; (d) the six saliency points recovered by the proposed method.