DocumentCode :
3695168
Title :
Towards an automatic on-line signature verifier using only one reference per signer
Author :
Moises Diaz;Andreas Fischer;Réjean Plamondon;Miguel A. Ferrer
Author_Institution :
IDeTIC Institute, Universidad de Las Palmas de Gran Canaria, Spain
fYear :
2015
Firstpage :
631
Lastpage :
635
Abstract :
What can be done with only one enrolled real hand-written signature in Automatic Signature Verification (ASV)? Using 5 or 10 signatures for training is the most common case to evaluate ASV. In the scarcely addressed case of only one available signature for training, we propose to use modified duplicates. Our novel technique relies on a fully neuromuscular representation of the signatures based on the Kinematic Theory of rapid human movements and its Sigma-Lognormal model. This way, a real on-line signature is converted into the Sigma-Lognormal model domain. The model parameters are then varied to generate new duplicated signatures.
Keywords :
"Hidden Markov models","Protocols","Engines","Silicon","Atmospheric modeling","Integrated circuit modeling","Handwriting recognition"
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
Type :
conf
DOI :
10.1109/ICDAR.2015.7333838
Filename :
7333838
Link To Document :
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