Design and implementation of deep learning strategy based smart signature verification System

2020 ◽  
Vol 77 ◽  
pp. 103119
Author(s):  
K. Tamilarasi ◽  
S. Nithya kalyani
2014 ◽  
Vol 24 ◽  
pp. 47-52
Author(s):  
Joanna Putz-Leszczynska

This paper addresses template ageing in automatic signature verification systems. Handwritten signatures are a behavioral biometric sensitive to the passage of time. The experiments in this paper utilized a database that contains signature realizations captured in three sessions. The last session was captured seven years after the first one. The results presented in this paper show a potential risk of using an automatic handwriting verification system without including template ageing Purchase Article for $10 


2020 ◽  
Vol 16 (6) ◽  
pp. 3721-3730 ◽  
Author(s):  
Xiaofeng Yuan ◽  
Jiao Zhou ◽  
Biao Huang ◽  
Yalin Wang ◽  
Chunhua Yang ◽  
...  

2021 ◽  
Author(s):  
Andi Zheng ◽  
Yaqiong Fu ◽  
Mingze Dong ◽  
Xinyi Du ◽  
Yueming Chen ◽  
...  

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