User Authentication Based on Handwriting Analysis of Pen-Tablet Sensor Data Using Optimal Feature Selection Model

User Authentication Based on Handwriting Analysis of Pen-Tablet Sensor Data Using Optimal Feature Selection Model

Handwriting analysis is playing an important role in user authentication or online writer identification for more than a decade. It has a significant role in different applications such as e-security, signature biometrics, e-health, gesture analysis, diagnosis system of Parkinson’s disease, Attentio...

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Bibliographic Details
Main Authors: Nasima Begum, Md Azim Hossain Akash, Sayma Rahman, Jungpil Shin, Md Rashedul Islam, Md Ezharul Islam
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Future Internet
Subjects:
user authentication
handwriting analysis
optimal feature
feature selection
machine learning
SVM
Online Access:https://www.mdpi.com/1999-5903/13/9/231

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https://www.mdpi.com/1999-5903/13/9/231

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