A hybrid proposed image quality assessment and enhancement framework for finger vein recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11877-x.pdf
Reference53 articles.
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2. Daugman J (2009) How Iris recognition works, the essential guide to image processing 1st ed. Elsevier. https://doi.org/10.1016/B978-0-12-374457-9.00025-1
3. Du S, Yang J, Zhang H et al (2020) FVSR-net: an end-to-end finger vein image scattering removal network. Multimed Tools Appl. https://doi.org/10.1007/s11042-020-09270-1
4. Gao Y, Wang J, Zhang L (2020) Robust ROI localization based on image segmentation and outlier detection in finger vein recognition. Multimed Tools Appl 79:20039–20059. https://doi.org/10.1007/s11042-020-08865-y
5. He K, Sun J, Tang X (2013) Guided image filtering. IEEE Trans Pattern Anal Mach Intell 35:1397–1409. https://doi.org/10.1109/TPAMI.2012.213
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