FORTRAN Automated Verification System (FAVS). Volume I.

1979 ◽  
Author(s):  
Rich A. Melton ◽  
Dorothy M. Andrews
Keyword(s):  
Automated Verification ◽  
Verification System

Cobol Automated Verification System: Study Phase.

1981 ◽  
Author(s):  
Richard Melton ◽  
Gary Greenburg ◽  
Michael Sharp
Keyword(s):  
Automated Verification ◽  
Study Phase ◽  
System Study ◽  
Verification System

scholarly journals An integrated approach on verification of signatures using multiple classifiers (SVM and Decision Tree): A multi-classification approach

2022 ◽  
Vol 9 (1) ◽  
pp. 99-109
Author(s):  
Jindal et al. ◽  
Keyword(s):  
Decision Tree ◽  
Integrated Approach ◽  
Signature Verification ◽  
Automated Verification ◽  
Support Vector ◽  
Learning Support ◽  
Static Characteristics ◽  
Multiple Classifiers ◽  
Verification System ◽  
Multi Classification

A signature is a handwritten representation that is commonly used to validate and recognize the writer individually. An automated verification system is mandatory to verify the identity. The signature essentially displays a variety of dynamics and the static characteristics differ with time and place. Many scientists have already found different algorithms to boost the signature verification system function extraction point. The paper is aimed at multiplying two different ways to solve the problem in digital, manual, or some other means of verifying signatures. The various characteristics of the signature were found through the most adequately implemented methods of machine learning (support vector and decision tree). In addition, the characteristics were listed after measuring the effects. An experiment was performed in various language databases. More precision was obtained from the feature.

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