Abstract
Information about eyelid position in an image is used during iris recognition for eyelid and eyelash noise removal, iris image quality estimation and other purposes. Eyelid detection is usually performed after iris-sclera boundary localization which is a fairly complex operation itself. If the authentication is working on a hand-held device, this order is not always justified, mainly because of the device limited performance, user interaction difficulties and highly variable environmental conditions. In this case the eyelid position information could be used to determine whether the image should be passed for the further complex processing operations. This paper proposes a method of eyelid position detection for iris image quality estimation and further complete eyelid border localization and compares its performance with several similar existing methods on four open datasets.
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Odinokikh, G., Korobkin, M., Gnatyuk, V., Eremeev, V. (2019). Eyelid Position Detection Method for Mobile Iris Recognition. In: Strijov, V., Ignatov, D., Vorontsov, K. (eds) Intelligent Data Processing. IDP 2016. Communications in Computer and Information Science, vol 794. Springer, Cham. https://doi.org/10.1007/978-3-030-35400-8_10
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