Exploring Recurrent Neural Networks for On-Line Handwritten Signature Biometrics

Exploring Recurrent Neural Networks for On-Line Handwritten Signature Biometrics

Systems based on deep neural networks have made a breakthrough in many different pattern recognition tasks. However, the use of these systems with traditional architectures seems not to work properly when the amount of training data is scarce. This is the case of the on-line signature verification t...

Full description

Bibliographic Details
Main Authors: Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Javier Ortega-Garcia
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Biometrics
deep learning
on-line handwritten signature verification
recurrent neural networks
LSTM
GRU
Online Access:https://ieeexplore.ieee.org/document/8259229/

Similar Items

Similar Items