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View all- Shakil KZareen FAlam MJabin S(2022)BAMCloud: a cloud based Mobile biometric authentication frameworkMultimedia Tools and Applications10.1007/s11042-022-13514-782:25(39571-39600)Online publication date: 26-Jul-2022
An Efficient Cloud-Based Iris Recognition Solution for Mobile Devices
Authors: 
Frances Albert Santos, Fabio Augusto Faria, Azzedine Boukerche, Leandro Aparecido VillasAuthors Info & Claims
Frances Albert Santos, Fabio Augusto Faria, Azzedine Boukerche, Leandro Aparecido VillasAuthors Info & ClaimsPages 89 - 95
Abstract
The use of biological properties for individual identification, called biometric systems, on mobile devices is the easier and safer approach to deal with user personal information. Several works have been sought to develop robust solutions for different biometric modalities, such as, face, fingerprint, palmprint, voice, and iris recognition. In this work, we evaluate three well-know local binary descriptors -- BRIEF, ORB and BRISK -- for iris recognition task. We show that the iris recognition is a computationally heavy task to run locally on mobile devices. Then we propose to perform iris recognition on a cloud infrastructure, which has recently emerged as a new paradigm for hosting and delivering services over the Internet. Moreover, the information processing could be completed much faster. In our experiments, we assessed the effectiveness, time-consuming, and memory usage metrics. Simulation results show that cloud-based iris recognition using WiFi or LTE communication reduces the average time at least 50% in comparison with time obtained to perform the iris recognition locally.
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Index Terms
- An Efficient Cloud-Based Iris Recognition Solution for Mobile Devices
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Published In
November 2015
114 pages
ISBN:9781450337588
DOI:10.1145/2810362
- General Chair:
- Mirela Sechi M.A. Notare,
- Program Chairs:
- Ángel Cuevas Rumín,
- Miguel Lopez-Guerrero
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Published: 02 November 2015
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MSWiM'15: 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
November 2 - 6, 2015
Cancun, Mexico
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MobiWac '15 Paper Acceptance Rate 12 of 37 submissions, 32%;
Overall Acceptance Rate 83 of 272 submissions, 31%
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View all- Shakil KZareen FAlam MJabin S(2022)BAMCloud: a cloud based Mobile biometric authentication frameworkMultimedia Tools and Applications10.1007/s11042-022-13514-782:25(39571-39600)Online publication date: 26-Jul-2022
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