Browsing by Author "FERREIRA, GUSTAVO LEVI VIEIRA"
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- Um Estudo Comparativo entre CNNs e Vision Transformers para Reconhecimento Facial em Sistemas de AutenticaçãoPublication . FERREIRA, GUSTAVO LEVI VIEIRA; Ramos, Carlos Fernando da SilvaFacial recognition has established itself as one of the most promising solutions for authentication systems, combining practicality, speed, and no explicit interaction on the part of the user. However, its use in real environments raises critical challenges, especially in balancing productivity and security. Spoofing attacks and fraudulent login attempts pose significant threats that can compromise the reliability and security of these systems. Therefore, this thesis proposes a solution that aims to implement a facial recognition-based authentication mechanism capable of combining performance and resilience in the face of multiple attack attempts. To this end, Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) architectures were explored and compared, evaluating their behavior in terms of speed, performance, and accuracy. The results highlight the advantages and limitations of each approach, providing possible architecture and development for the topic in question in order to achieve a solution that is both useful and secure.