DIGITAL CHEQUE SIGNATURE FRAUD DETECTION USING MACHINE LEARNING

Registration ID: IJNRD_224554

Published ID: IJNRD2407031

: Click Here to Get

About Hard Copy and Transparent Peer Review Report

Bursu Nithya Thulasi, P Satish Kumar, Mannuru malleswari

DIGITAL CHEQUE SIGNATURE, FRAUD DETECTION, MACHINE LEARNING TECHNIQUES

Digital transactions have transformed the landscape of financial operations, offering unprecedented convenience and speed. However, alongside these advancements, the proliferation of digital cheque signature fraud has posed significant challenges to the security and integrity of financial transactions. Detecting fraudulent activities, particularly forged cheque signatures, remains a critical task for financial institutions aiming to protect their customers and maintain trust in digital banking systems. This study investigates the application of machine learning techniques to develop a robust fraud detection system capable of effectively identifying and mitigating digital cheque signature fraud. The research begins by acquiring and curating a comprehensive dataset comprising genuine and fraudulent digital cheque signatures. Various machine learning algorithms, including Support Vector Machines (SVM), Random Forests, and Convolutional Neural Networks (CNNs), are explored for their efficacy in learning and distinguishing fraudulent patterns from authentic signatures. The models are trained on labeled data to optimize performance metrics such as accuracy, precision, recall, and F1-score. Implementation of the developed system into banking infrastructure facilitates real-time analysis and validation of digital cheque signatures during transaction processing. Cloud-based deployment ensures scalability and accessibility across diverse banking platforms, enhancing operational efficiency and fraud prevention capabilities. Performance evaluation metrics validate the effectiveness of the proposed model in detecting fraudulent cheque signatures. Cross-validation techniques ensure the model's robustness and generalization capabilities across different subsets of data, providing insights into its reliability in real-world applications. Ethical considerations, including privacy preservation and responsible data usage, are prioritized throughout the development and deployment phases of the fraud detection system. Future research directions include exploring ensemble learning approaches, integrating explainable AI techniques for enhanced model interpretability, and collaborating with financial institutions to enhance the system's adaptability to evolving fraud tactics. In conclusion, the application of machine learning in digital cheque signature fraud detection represents a proactive strategy in combating financial fraud and enhancing security in digital banking environments. By leveraging advanced technologies and comprehensive datasets, this study contributes to advancing fraud detection capabilities, safeguarding financial transactions, and preserving trust in digital banking systems.

Published Paper   E-Certificate

Bursu Nithya Thulasi, P Satish Kumar, & Mannuru malleswari (July-2024). DIGITAL CHEQUE SIGNATURE FRAUD DETECTION USING MACHINE LEARNING. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), a297-a306. https://ijnrd.org/papers/IJNRD2407031.pdf

Volume 9 Issue 7, July-2024

Pages : a297-a306

Paper Reg. ID: IJNRD_224554

Published Paper Id: IJNRD2407031

Research Area: Computer Engineering 

Author Type: Indian Author

Country: Cuddapah, Andra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2407031.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407031

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

UGC CARE JOURNAL PUBLICATION | ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International UGC CARE JOURNAL PUBLICATION, Low Cost, Scholarly Open Access, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

© 2026 - 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). 🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use. The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.

Call For Paper - Volume 11 | Issue 5 | May 2026

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the New UGC CARE Transparent Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.

Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.

Transparent Peer Review Journal Publication: IJNRD operates a strict double-blind peer review system managed by 3000+ expert reviewers, ensuring ethical, unbiased, and high-quality review for every research paper.

For Indian Authors : Get a transparent peer review report from Scholar9.com for just ₹1000. View Sample Report

For Foreign Authors : A detailed peer review report is available through Scholar9.com for $20 USD. View Sample Report

Transparent Peer Review Journal Publication

⭐ Transparent Peer Review | 🕵️‍♂️ Double-Blind | 👨‍🏫 3000+ Expert Reviewers | 🇮🇳 Report for India Author ₹1000 | 🌐 Report for Foreign Author $20 | 📄 Sample Reports on Scholar9.com | 🌍 High Credibility | ⚖️ Ethical & Unbiased Evaluation

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Recently, the UGC discontinued the UGC-CARE Journal List and introduced new parameters that allow publication in Transparent Peer-Reviewed (Refereed) Journals. IJNRD is Transparent Peer Review Journal Valid As per New UGC Notification.

You can now publish your research paper in IJNRD.ORG. IJNRD is a Transparent Peer-Reviewed Open Access (Refereed Journal), UGC and UGC CARE Approved, Crossref DOI, Multidisciplinary, Impact Factor calculate by Google Scholar. As an International, open-access, and online journal, Publishing with us ensures wider reach, academic credibility, and enhanced recognition for your work.

For more details, refer to the official notice: UGC Public Notice

⭐ Low Cost ₹1570 | 📚 UGC CARE Approved | 🔍 Peer-Reviewed | 🌐 Open Access | 🔗 Crossref DOI & Global Indexing | 📊 Google Scholar Impact Factor | 🧪 Multidisciplinary

Submit Paper Online  Call for Paper  About IJNRD UGC CARE Approval

Important Dates for Current issue

Paper Submission Open For: May 2026

Current Issue: Volume 11 | Issue 5 | May 2026

Impact Factor: 8.76

Last Date for Paper Submission: Till 30-Jun-2026

Notification of Review Result: Transparent peer review process - your paper is evaluated by experts, and you receive acceptance or rejection updates via email and SMS.

Publication of Paper: Once all documents are submitted, your paper is published without delay, and you can instantly download your certificate and confirmation letter online.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an international open-access journal offering Low Cost Journal Publication, transparent Peer Review Journal Publication, Crossref DOI, and multidisciplinary research visibility under UGC CARE Approved Journal Publication.

Subject Category: Research Area

Approval, Licenses and Indexing: More Details

Call For Paper - Volume 11 | Issue 5 | May 2026

IJNRD.org offers low-cost journal publication starting at ₹1570 with UGC CARE Approved, refereed, peer-reviewed, open-access publishing. This multidisciplinary monthly journal, available in both online and print formats, features a strong Google Scholar-based impact factor of 8.76, Transparent Peer Review, CrossRef DOI, global indexing, fast publication, and complete metadata for maximum research visibility and citation impact across multidisciplinary domains.

Volume 11 | Issue 5 | May 2026 | IJNRD Transparent Peer Review Certificate | Submit Paper Online till 30-Jun-2026

⭐ UGC CARE Approved Refereed Journal | 🔍 Transparent Peer Review | 🌐 Open Access Publishing | 💰 Low-Cost ₹1570 | 🔗 CrossRef DOI & Global Indexing | 📊 Google Scholar Impact Factor 8.76 | 🧪 Multidisciplinary | Online & Print

Submit Paper Online