Achieving Higher Accuracy in Biometric Authentication with Multimodal Techniques

Biometric authentication is an important aspect of security systems that identify individuals based on unique biological traits. Unimodal biometric systems do, however, have security and accuracy issues. In order to increase accuracy, this article suggests a multimodal biometric authentication method that combines fingerprint, voice, face, and iris data. By minimizing the false acceptance rate (FAR) and false rejection rate (FRR), as well as by its higher accuracy when compared to existing techniques, the performance of the proposed technique is assessed. The article emphasizes the value of multimodal approaches to biometric authentication as well as how they could improve the precision and security of identification systems. The development of more dependable and robust biometric authentication systems is significantly impacted by the proposed technique.