ISSN2320-2882
Impact Factor9.17
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Paper Title

Handwriting Similarity, Forgery And Spam Detection Tool

Authors

Lanakalapalli Asharani , Hariprasad Laveti , A.S.P.V.E.Achari , Bhaskarrao Uppu , Sadvika Laveti

Keywords

Handwriting Recognition, Handwriting Similarity, Deep Metric Learning, FAISS, Forgery Detection, knn, ORB, PCA, Error Level Analysis (ELA), Threat Intelligence, URLHaus, VirusTotal, Spam Detection.

Abstract

This paper presents a smart and advanced forensic tool that combines handwriting similarity, forgery detection, and spam detection into one integrated system. The project was fully developed and executed on a Raspberry Pi 5, which plays a key role in making the tool portable, energy efficient, and cost effective. This shows that advanced forensic and cybersecurity operations can be performed on small hardware without needing high-end systems. The handwriting similarity module checks whether two handwritten documents are written by the same person, focusing only on handwritten content. The forgery detection module finds duplicate or tampered areas such as signatures, stamps, QR codes, and government documents by using image analysis techniques. The spam and threat detection module identifies and blocks spam messages, unsafe links, and malicious files including APKs, EXE, and document formats that may cause harm. The toolkit uses machine learning methods for better accuracy and gives simple visual results for easy understanding. Testing proved that the system performs smoothly on the Raspberry Pi 5 with an overall accuracy of more than 95 percent, showing that it is a reliable and practical solution for real time document verification and digital threat detection.

How To Cite

Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.

IJCRT — journal style
"Handwriting Similarity, Forgery And Spam Detection Tool", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 11, page no.a611-a621, November 2025, Available :https://ijcrt.org/papers/IJCRT2511069.pdf
APA — 7th edition
Asharani, L., Laveti, H., A.S.P.V.E.Achari, Uppu, B., & Laveti, S. (2025). Handwriting Similarity, Forgery And Spam Detection Tool. International Journal of Creative Research Thoughts, 13(11), a611-a621. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511069
MLA — 9th edition
Asharani, Lanakalapalli, et al. "Handwriting Similarity, Forgery And Spam Detection Tool." International Journal of Creative Research Thoughts, vol. 13, no. 11, 2025, pp. a611-a621, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511069.
Chicago — 17th, bibliography
Asharani, Lanakalapalli, et al. "Handwriting Similarity, Forgery And Spam Detection Tool." International Journal of Creative Research Thoughts 13, no. 11 (2025): a611-a621. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511069.
Harvard — author–date
Asharani, L. et al. (2025) 'Handwriting Similarity, Forgery And Spam Detection Tool', International Journal of Creative Research Thoughts, 13(11), pp. a611-a621. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511069
IEEE — numbered reference
L. Asharani, H. Laveti, A.S.P.V.E.Achari, B. Uppu and S. Laveti, "Handwriting Similarity, Forgery And Spam Detection Tool," IJCRT, vol. 13, no. 11, pp. a611-a621, Nov. 2025.
Vancouver — biomedical
Asharani L, Laveti H, A.S.P.V.E.Achari, Uppu B, Laveti S. Handwriting Similarity, Forgery And Spam Detection Tool. IJCRT. 2025 Nov;13(11):a611-a621.
AMA — 11th edition
Asharani L, Laveti H, A.S.P.V.E.Achari, Uppu B, Laveti S. Handwriting Similarity, Forgery And Spam Detection Tool. IJCRT. 2025;13(11):a611-a621. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511069
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2511069, author = {Lanakalapalli Asharani and Hariprasad Laveti and A.S.P.V.E.Achari and Bhaskarrao Uppu and Sadvika Laveti}, title = {Handwriting Similarity, Forgery And Spam Detection Tool}, journal = {International Journal of Creative Research Thoughts}, volume = {13}, number = {11}, pages = {a611-a621}, year = {2025}, month = {November}, issn = {2320-2882}, url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511069} }
RIS — EndNote, RefWorks
TY - JOUR AU - Asharani, Lanakalapalli AU - Laveti, Hariprasad AU - A.S.P.V.E.Achari AU - Uppu, Bhaskarrao AU - Laveti, Sadvika TI - Handwriting Similarity, Forgery And Spam Detection Tool T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 13 IS - 11 PY - 2025 SN - 2320-2882 UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511069 SP - a611-a621 ER -

Issue

Volume 13 Issue 11, November-2025
Pages : a611-a621

Article Information

Pages
a611-a621
Published
November 2025
Registration ID
IJCRT_296055
Published Paper ID
IJCRT2511069
Research Area
Science and Technology
Author Type
Indian Author
Location
Visakhapatnam, Andhra Pradesh, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
247

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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
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© 2025 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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