MOHAB: Mobile hand-based biometric recognition

Barra, Silvio;DE MARSICO, MARIA;
2017-01-01

Abstract

This paper presents a novel approach to hand-based biometrics that uses mobile devices. Hand-based recognition has been explored via different research lines and taking into consideration different traits. On the other hand, few studies tackle its feasibility on mobile devices. Given their diffusion and availability, their use in this context appears particularly attractive. The work presented in this study aims at investigating at an high level the limitations of using hand geometry to enable biometric recognition on mobile. The first results obtained were encouraging let supposing potential margins of improvement of the proposed method.
2017
Inglese
Green, Pervasive, and Cloud Computing
9783319571850
Springer
LECTURE NOTES IN COMPUTER SCIENCE
10232
105
115
11
WOS:000426275000009
2-s2.0-85019218140
12th International Conference on Green, Pervasive and Cloud Computing, GPC 2017
Esperti anonimi
11-14 May 2017
Cetara, Italy
scientifica
Hand geometry; Hand recognition; Mobile devices; Theoretical computer science; Computer science (all)
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Barra, Silvio; DE MARSICO, Maria; Nappi, Michele; Narducci, Fabio; Riccio, Daniel
273
5
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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