Enhancing Biometric Authentication through Deep AI-based Facial Recognition

Abstract

Biometric authentication is an inevitable program in the today life to reduce the risk and provide the comfort in the life by giving deny the access (e.g. In this project, I am going to create and implement a Deep AI-based Facial Recognition System to solve the common problems seen in existing methods, such as the system being vulnerable to spoofing attacks, biases, and scalability issues. The system utilizes state-of-the-art deep learning models (especially CNNs) that provide very high precision (even in adverse conditions) and anti-spoofing. It also stresses secure data handling according to privacy regulations, real-time performance, and seamless cross-platform integration. This means the system can be used for access control, digital onboarding, and identity verification, so it is a trustworthy, scalable solution. The effectiveness and security advantages demonstrated in our findings illustrate that this approach represents progress in the domain of biometric identification.