Deep Learning-Based Person Recognition with Verification System
International Research Journal of Modernization in Engineering Technology and Science · 2024
A novel model for person identification and verification leveraging deep learning techniques.The proposed system utilizes a MTCNN architecture for training facial features and employs PyTorch Face Recognizers for face recognition tasks.The process begins with the mapping of faces to unique identifiers during the training phase, facilitating efficient identification.At the user end, when a unique identifier is provided, the system verifies whether the recognized face matches the trained face associated with that identifier.If successful, a verification message is relayed; otherwise, the system captures the unrecognized face and forwards it to the original person's email for further scrutiny.This approach ensures robustness and accuracy in recognizing individuals and enhancing security and authentication protocols in various domains.The research contributes to the advancement of deep learning methodologies in the realm of person identification and verification, offering a promising avenue for future developments in biometric systems and security applications.