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Online Signature Classification and its Verification System

2008 7th Computer Information Systems and Industrial Management Applications, 2008
This work presents experimental results on online recognition of handwritten signature. The system makes use of dynamic data such as trajectory, pen velocity, pen pressure, pen azimuth, and pen altitude collected at the time of signing. In order to evaluate the effectiveness of the system several experiments are carried out.
Marcin Adamski, Khalid Saeed
openaire   +1 more source

Online signature verification using segmented local features

2016 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube), 2016
Biometric is a reliable system that provides person's authentication and verification using his physical and behavioral characteristics. Most of the previous work has been done on online signature verification involved statistical local and global features extracted from x, y coordinates and pen's pressure. Pen's positions along the time series has not
Madiha Tahir   +2 more
openaire   +1 more source

Function-Based Online Signature Verification

2008
Julian Fierrez, Javier Ortega-Garcia
openaire   +1 more source

OSVFuseNet: Online Signature Verification by feature fusion and depth-wise separable convolution based deep learning

Neurocomputing, 2020
Viswanath Pulabaigari   +2 more
exaly  

DWSCNN Online Signature Verification Algorithm

2024 4th International Conference on Neural Networks, Information and Communication (NNICE)
Ziyao Chen   +3 more
openaire   +1 more source

Online Signature Verification Based on DCT and Sparse Representation

IEEE Transactions on Cybernetics, 2015
Zhihua Yang, Zhihua Yang
exaly  

Identity authentication using improved online signature verification method

Pattern Recognition Letters, 2005
Alisher Kholmatov
exaly  

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