MOHAB: Mobile hand-based biometric recognition


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.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 10232 LNCS, 2017, Pages 105-115 12th International Conference on Green, Pervasive and Cloud Computing, GPC 2017; Cetara; Italy; 11 May 2017 through 14 May 2017; Code 191689
Silvio Barra
Silvio Barra
Assistant Professor

Assistant Professor @ University of Naples