F-FID: fast fuzzy-based iris de-noising for mobile security applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-019-7156-9.pdf
Reference43 articles.
1. Abate A, Barra S, Gallo L, Narducci F (2016) Skipsom: skewness kurtosis of iris pixels in self organizing maps for iris recognition on mobile devices. In: 2016 23rd international conference on pattern recognition (ICPR), pp 155–159. https://doi.org/10.1109/ICPR.2016.7899625
2. Abate AF, Barra S, D’Aniello F, Narducci F (2017) Two-tier image features clustering for iris recognition on mobile. In: Petrosino A, Loia V, Pedrycz W (eds) Fuzzy logic and soft computing applications. Springer International Publishing, Cham, pp 260–269
3. Abate AF, Barra S, Fenu G, Nappi M, Narducci F (2017) A lightweight mamdani fuzzy controller for noise removal on iris images. In: Battiato S, Gallo G, Schettini R, Stanco F (eds) Image analysis and processing - ICIAP 2017. Springer International Publishing, Cham, pp 93–103
4. Abate AF, Barra S, Gallo L, Narducci F (2017) Kurtosis and skewness at pixel level as input for SOM networks to iris recognition on mobile devices. Pattern Recogn Lett 91:37–43. https://doi.org/10.1016/j.patrec.2017.02.002
5. Abate AF, Nappi M, Ricciardi S (2017) I-am: implicitly authenticate me person authentication on mobile devices through ear shape and arm gesture. IEEE Trans Syst Man Cybern Syst Hum PP(99):1–13. https://doi.org/10.1109/TSMC.2017.2698258
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