Handwriting and signature recognition

2009 ◽  
Author(s):  
S.M. Kakade ◽  
P.P. Bartakke
Keyword(s):  
Signature Recognition

Signature Recognition for Nuclear Detonations

1969 ◽  
Vol 16 (4) ◽  
pp. 453-461 ◽  
Author(s):  
A. Vander Lugt ◽  
R.H. Mitchel
Keyword(s):  
Signature Recognition

scholarly journals Global Signature Recognition for Nurse Practitioners in California

2021 ◽  
Author(s):  
Theresa Brown ◽  
Ahlam Jadalla ◽  
Demtra Bastas-Bratkic ◽  
Margaret Brady
Keyword(s):  
Nurse Practitioners ◽  
Signature Recognition

scholarly journals Offline Signature Recognition using Pretrained Convolution Neural Network Model

2019 ◽  
Vol 9 (1) ◽  
pp. 5497-5505
Keyword(s):  
Neural Network ◽  
Decision Tree ◽  
Network Model ◽  
Neural Network Model ◽  
Convolution Neural Network ◽  
Deep Convolution Neural Network ◽  
Signature Recognition

Offline Signature recognition plays an important role in Forensic issues. In this paper, we explore Signature Identification and Verification using features extracted from pretrained Convolution Neural Network model (Alex Net). All the experiments are performed on signatures from three dataset (SigComp2011) (Dutch, Chinese), SigWiComp2013 (Japanese) and SigWIcomp2015 (Italian). The result shows that features extracted from pretrained Deep Convolution neural network and SVM as classifier show better results than that of Decision Tree. The accuracy of more than 96% for Japanese, Italian, Dutch and Chinese Signatures is obtained with Deep Convolution neural network and SVM as classifier.

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