Modification of VGG Neural Network Architecture for Unimodal and Multimodal Biometrics
Stefanidi Anton, Topnikov Artem, Andrey L. Priorov, Kosterin Igor · 2020
Identification and authentication systems have become an important part of the modern world. Algorithms for recognizing a person by face, iris, voice, and fingerprint are used in mobile devices, personal data management systems, and banking systems. However, any unimodal biometric system has some inherent disadvantages. In this paper, we consider unimodal and bimodal identification algorithms based on facial and voice biometrics.