This paper presents a new approach for the analysis of local stability in online signature. Conversely to previous approaches in the literature, the analysis of stability is here performed by considering the characteristics of the processes underlying signature generation. For this purpose, the Sigma-Lognormal model developed in the context of the kinematic theory of rapid human movements is considered. It allows the representation of the information of the neuromuscular system involved in the production of complex movements like signatures. The experimental results were obtained using the SuSig database. They demonstrate that the new approach provides useful information on stability of online signatures and allows to better understand some characteristics of human behavior in signing.
STABILITY ANALYSIS OF ONLINE SIGNATURES IN THE GENERATION DOMAIN
PIRLO, Giuseppe;IMPEDOVO, DONATO;
2014-01-01
Abstract
This paper presents a new approach for the analysis of local stability in online signature. Conversely to previous approaches in the literature, the analysis of stability is here performed by considering the characteristics of the processes underlying signature generation. For this purpose, the Sigma-Lognormal model developed in the context of the kinematic theory of rapid human movements is considered. It allows the representation of the information of the neuromuscular system involved in the production of complex movements like signatures. The experimental results were obtained using the SuSig database. They demonstrate that the new approach provides useful information on stability of online signatures and allows to better understand some characteristics of human behavior in signing.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
