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Original Article

Digital Handwriting Signatures: Pen-Tablet Motion Analysis for Identity Verification

Mohana Divya D1 Rithesh Gowda C2 Manjunatha S3 Raghav V bhat4 Krupesh patel MS5
1 Professor, Department of Computer Science and Engineering Raja Rajeswari College of Engineering. Bengaluru, Karnataka, India. 2 3 4 5 Department of Computer Science and Engineering Raja Rajeswari College of Engineering. Bengaluru, Karnataka, India.

Published Online: November-December 2025

Pages: 94-99

References

1. Begum et al., 2021 – ML authentication using pen-tablet
2. Nguyen et al., 2019 – Text-independent writer ID with CNN
3. Moetesum et al., 2019 – Parkinson’s detection via handwriting
4. Dargan et al., 2020 – Devanagari script-based ID
5. Impedovo et al., 2018 – Dynamic features for early PD diagnosis
6. “Dynamics of Digital Pen-Tablet: Handwriting Analysis for Person Identification Using ML and DL,” IEEE Access, 2024, DOI: 10.1109/ACCESS.2024.3352070
7. Signature Forgery Detection: Improving Cross-Dataset Generalization Authors: Mengyuan Yan, Furong ZhaoarXiv, 2025
8. Offline Signature Verification Using Pre-Trained Deep Convolution Neural Networks Authors: Paavan Raval, et al. International Journals SSRG, 2025
9. Online signature verification based on Siamese networks and LSTM Authors: Xiaofu Wu, et al. SPIE Digital Library, 2025
10. Signatures Verification using CNN and HOG including Voting Classifier Authors: P. Krishnan, et al. Atlantis Press

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