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Pay By Showing Your Palm: A Study of Palmprint Verification on Mobile Platforms
Tongji University.
Tongji University.
Tongji University.
Tongji University.
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2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

With the fast development of smart mobile devices, mobile phones have gradually become an indispensable part of people's lives. Many biometric technologies based on mobile platforms have also developed rapidly, such as face verification and fingerprint recognition. However, the great potential of palmprint has been neglected. In this paper, we conducted a thorough study of palmprint verification on mobile devices for the first time. Firstly, we established an annotated, palmprint dataset named MPD, which was collected by multi-brands phones in two different sessions. As the largest dataset in this field, MPD contains 16,000 palm images from 200 subjects. Secondly, we built a DCNN-based palmprint verification system named DeepMPV for mobile platforms. The efficiency and performance of our system have been corroborated on our collected dataset. The labelled dataset and the source code are publicly available at https://cslinzhang.github.io/deepmpv/.

Place, publisher, year, edition, pages
Shanghai, China, 2019.
Keywords [en]
Mobile handsets, Feature extraction, Detectors, Training, Cameras, Face, Performance evaluation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-390162DOI: 10.1109/ICME.2019.00153ISBN: 978-1-5386-9552-4 (electronic)ISBN: 978-1-5386-9553-1 (print)OAI: oai:DiVA.org:uu-390162DiVA, id: diva2:1340734
Conference
2019 IEEE International Conference on Multimedia and Expo (ICME)
Available from: 2019-08-06 Created: 2019-08-06 Last updated: 2019-08-06

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Yang, Yukai
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Language
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