An Assessment of Dynamic Signature Forgery and Perception of Signature Strength

2006 ◽  
Author(s):  
Stephen Elliott ◽  
Adam Hunt
Keyword(s):  
Dynamic Signature

The Influence of Template Ageing on a Dynamic Signature Verification System

2014 ◽  
Vol 24 ◽  
pp. 47-52
Author(s):  
Joanna Putz-Leszczynska
Keyword(s):  
Potential Risk ◽  
Signature Verification ◽  
Verification System ◽  
Verification Systems ◽  
Dynamic Signature

This paper addresses template ageing in automatic signature verification systems. Handwritten signatures are a behavioral biometric sensitive to the passage of time. The experiments in this paper utilized a database that contains signature realizations captured in three sessions. The last session was captured seven years after the first one. The results presented in this paper show a potential risk of using an automatic handwriting verification system without including template ageing Purchase Article for $10 

scholarly journals Dynamic Reliability Modeling of Three-State Networks

2014 ◽  
Vol 51 (4) ◽  
pp. 999-1020 ◽  
Author(s):  
S. Ashrafi ◽  
M. Asadi
Keyword(s):  
Network Structure ◽  
Single Step ◽  
Two Dimensional ◽  
Reliability Modeling ◽  
Stochastic Orderings ◽  
Dynamic Reliability ◽  
Network States ◽  
Dynamic Signature ◽  
Stochastic Properties ◽  
Residual Lifetimes

This paper is an investigation into the reliability and stochastic properties of three-state networks. We consider a single-step network consisting of n links and we assume that the links are subject to failure. We assume that the network can be in three states, up (K = 2), partial performance (K = 1), and down (K = 0). Using the concept of the two-dimensional signature, we study the residual lifetimes of the networks under different scenarios on the states and the number of failed links of the network. In the process of doing so, we define variants of the concept of the dynamic signature in a bivariate setting. Then, we obtain signature based mixture representations of the reliability of the residual lifetimes of the network states under the condition that the network is in state K = 2 (or K = 1) and exactly k links in the network have failed. We prove preservation theorems showing that stochastic orderings and dependence between the elements of the dynamic signatures (which relies on the network structure) are preserved by the residual lifetimes of the states of the network (which relies on the network ageing). Various illustrative examples are also provided.

Dynamic signature recognition based on velocity changes of some features

2008 ◽  
Vol 1 (1) ◽  
pp. 47 ◽  
Author(s):  
Rafal Doroz ◽  
Piotr Porwik ◽  
Tomasz Para ◽  
Krzysztof Wrobel
Keyword(s):  
Signature Recognition ◽  
Velocity Changes ◽  
Dynamic Signature
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