Biometric Authentication: Advances in Multi-Modal Biometric Systems for Enhanced Security

Abstract

Biometric authentication methods verify identity by using distinctive characteristics such as voice patterns, face features, or fingerprints. Despite depending on a single characteristic, single-modal systems may have problems such as poor accuracy or spoofing susceptibility. Poor illumination or damaged fingerprints, for instance, can impair performance. Multi-modal systems, which integrate two or more characteristics (such as facial and fingerprint identification), provide increased security and accuracy by lowering rejections or false matches. This paper's conclusion offers suggestions for choosing the best solution based on user convenience and security requirements. It also identifies areas that require more investigation, such as enhancing user experience and resolving privacy issues with biometric data.