Dynamics of Digital Pen-Tablet: Handwriting Analysis for Person Identification Using Machine and Deep Learning Techniques-Reference-Cited by-同舟云学术

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Dynamics of Digital Pen-Tablet: Handwriting Analysis for Person Identification Using Machine and Deep Learning Techniques

Published:2024 Issue: Volume:12 Page:8154-8177
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hasan Tahmid¹^ORCID,Rahim Md. Abdur¹^ORCID,Shin Jungpil²^ORCID,Nishimura Satoshi²,Hossain Md. Najmul³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Pabna University of Science and Technology, Pabna, Bangladesh

2. School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan

3. Department of Electrical, Electronic and Communication Engineering, Pabna University of Science and Technology, Pabna, Bangladesh

Funder

Competitive Research Fund of The University of Aizu, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10387324.pdf?arnumber=10387324

Reference68 articles.

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

2. KinWrite: Handwritingbased authentication using Kinect;Tian

3. The security of modern password expiration

4. User-Controllable Security and Privacy for Pervasive Computing

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of Attention Deficit Hyperactivity Disorder Using Machine Learning Models;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

2. AILS: Experimental Evaluation of Handwritten Text Character Recognition System using Artificial Intelligence based Learning Scheme;2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2024-04-04

3. An Enhanced Hybrid Model Based on CNN and BiLSTM for Identifying Individuals via Handwriting Analysis;Computer Modeling in Engineering & Sciences;2024

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