An Efficient DTW Algorithm for Online Signature Verification

Author(s):  
Bhushan V. Patil ◽  
Punam R. Patil
Author(s):  
Mario Antoine Aoun ◽  
Mounir Boukadoum

The authors implement a Liquid State Machine composed from a pool of chaotic spiking neurons. Furthermore, a synaptic plasticity mechanism operates on the connection weights between the neurons inside the pool. A special feature of the system's classification capability is that it can learn the class of a set of time varying inputs when trained from positive examples only, thus, it is a one class classifier. To demonstrate the applicability of this novel neurocomputing architecture, the authors apply it for Online Signature Verification.


Author(s):  
Vahab Iranmanesh ◽  
Sharifah Mumtazah Syed Ahmad ◽  
Wan Azizun Wan Adnan ◽  
Fahad Layth Malallah ◽  
Salman Yussof

2008 ◽  
pp. 225-245 ◽  
Author(s):  
Julian Fierrez ◽  
Javier Ortega-Garcia

2006 ◽  
Vol 15 (11) ◽  
pp. 3540-3549 ◽  
Author(s):  
M.A.U. Khan ◽  
M.K.K. Niazi ◽  
M.A. Khan

Sign in / Sign up

Export Citation Format

Share Document