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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21686
Article Published : 8549
Total Authors : 22487
Total Reviewer : 811
Total Countries : 159
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Published Paper Details
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| Paper Title: | Integration of Facial Recognition and Two-Step Verification in Credit card Fraud Detection using Machine Learning |
| Authors Name: | Mrudula Dawalbhakta , Pallavi Chavhan , Prof.Dr.Mahesh Navale |
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IJRTI_203556
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| Published Paper Id: | IJRTI2505086 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | With the surge in online transactions, credit card fraud has become a significant issue, demanding efficient solutions for early detection and prevention. The rise in digital transactions has increased the demand for robust fraud detection systems. This project aims to develop a hybrid fraud detection system that integrates facial recognition technology with behavioural analysis to enhance security in credit card transactions. The system employs facial recognition algorithms, including Haar Cascades, Local Binary Patterns (LBP) to verify user identity. When a user initiates a transaction or logs in, their facial image is captured and compared to previously stored data using feature extraction techniques. Additionally, the system analyses behavioural data, such as login times, transaction locations, and spending habits, to identify anomalies indicative of fraud. By leveraging machine learning algorithms such as Support Vector Machines (SVM), CNNs the system learns from historical data and adapts to emerging patterns. This two-step verification process requires both a valid facial match and consistent user behaviour, significantly reducing false positives and negatives. |
| Keywords: | Face Recognition Technology, Credit Card Fraud Detection, Haar Cascade, Support Vector Machine (SVM), CNNs, Two-Step Verification, Real Time Authentication, Data Security. |
| Cite Article: | "Integration of Facial Recognition and Two-Step Verification in Credit card Fraud Detection using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a720-a724, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505086.pdf |
| Downloads: | 000480 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505086
Registration ID:203556
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: a720-a724 Country: Pune, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505086 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505086 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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