A Comparative Analysis of Biometric Modalities in Modern Financial Transactions

Abstract

In recent years, biometric authentication has revolutionized financial transactions, providing enhanced security and convenience. This paper evaluates the effectiveness, adoption, and challenges of biometric modalities—such as fingerprint recognition, facial recognition, iris scanning, and voice authentication—in financial systems. It contrasts their technical efficiency, user acceptance, scalability, and vulnerability to fraud. A comparative experiment involving these modalities is discussed, measuring performance based on accuracy, speed, and user feedback. Results indicate varying strengths and limitations for each modality, emphasizing the need for context-specific implementations. The conclusion offers insights into optimizing biometric systems for secure, user-friendly financial applications.