The use of electronic payment systems has become more widespread with the increase in online transactions, and the need for secure and reliable authentication methods has become a critical issue.The use of facial recognition based on unique individual biometric features is a potential solution.However, the effectiveness of facial recognition can be enhanced through the use of data mining techniques to analyze and classify facial features.Facial recognition in low-quality datasets poses a significant challenge for biometric identity verification in payment systems.In recent years, researchers have been working on improving the accuracy and reliability of facial recognition under these challenging conditions by combining adaptive loss functions and data mining methods.This article presents a study that explores the use of data mining algorithms for facial recognition in payment systems.The study highlights the importance of using data mining algorithms in facial recognition systems to enhance accuracy and security.By analyzing the work of various authors in this field, this study aims to contribute to the development of more effective and efficient facial recognition systems for payment systems.
| Jurnal | ТАТУ хабарлари |
|---|---|
| Nashr sanasi | 2025-05-01 |
| Til | en |
| DOI | 10.61663/233tuitmct12 |
DOI: 10.61663/233tuitmct12 · Maqolaning asl sahifasi
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