Exploring Deep Learning Image Super-Resolution for Iris Recognition
2017 (English)In: 25th European Signal Processing Conference (EUSIPCO 2017): 28 August-2 September 2017, Kos island, Greece, Institute of Electrical and Electronics Engineers (IEEE), 2017, Vol. 2017-January, p. 2176-2180, article id 8081595Conference paper, Published paper (Refereed)
Abstract [en]
In this work we test the ability of deep learning methods to provide an end-to-end mapping between low and high resolution images applying it to the iris recognition problem. Here, we propose the use of two deep learning single-image super-resolution approaches: Stacked Auto-Encoders (SAE) and Convolutional Neural Networks (CNN) with the most possible lightweight structure to achieve fast speed, preserve local information and reduce artifacts at the same time. We validate the methods with a database of 1.872 near-infrared iris images with quality assessment and recognition experiments showing the superiority of deep learning approaches over the compared algorithms. © EURASIP 2017.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017. Vol. 2017-January, p. 2176-2180, article id 8081595
Series
Proceedings of the European Signal Processing Conference (EUSIPCO), E-ISSN 2076-1465
Keywords [en]
Biometrics, Infrared devices, Learning systems, Neural networks, Optical resolving power, Quality of service, Signal processing, Convolutional neural network, High resolution image, Image super resolutions, Iris recognition, Learning approach, Learning methods, Local information, Quality assessment, Deep learning
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:hh:diva-40214DOI: 10.23919/EUSIPCO.2017.8081595ISI: 000426986000439Scopus ID: 2-s2.0-85041479673ISBN: 978-0-9928626-7-1 (electronic)ISBN: 978-0-9928626-8-8 (print)ISBN: 978-1-5386-0751-0 (print)OAI: oai:DiVA.org:hh-40214DiVA, id: diva2:1366066
Conference
25th European Signal Processing Conference (EUSIPCO 2017), Kos, Greece, 28 August - 2 September, 2017
Note
Funder: National Council for Scientific and Technological Development (CNPq) under grant No. 00736/2014-0
2019-10-282019-10-282020-01-24Bibliographically approved