MOHAB: Mobile Hand-Based Biometric Recognition

被引：2
|
作者：
Barra, Silvio [1 ]
De Marsico, Maria [2 ]
Nappi, Michele [1 ]
Narducci, Fabio [1 ]
Riccio, Daniel [3 ]
机构：
[1] Univ Salerno, BipLab, Salerno, Italy
[2] Sapienza Univ Rome, Rome, Italy
[3] Univ Federico II Naples, Naples, Italy
来源：
GREEN, PERVASIVE, AND CLOUD COMPUTING (GPC 2017) | 2017年 / 10232卷
关键词：
Hand geometry; Hand recognition; Mobile devices; PALMPRINT RECOGNITION; GEOMETRY; SYSTEM;
D O I：
10.1007/978-3-319-57186-7_9
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：105 / 115
页数：11
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