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Face Detection and Recognition Using by febinsunny2004 is a document available to read on EtoBox.

This document discusses the implementation of a face recognition system using transfer learning, comparing two face detection models: Haar Cascade and Deep Neural Network (DNN) SSD. The DNN SSD model demonstrated higher accuracy and robustness in challenging conditions, while the Haar Cascade model offered faster detection speeds but struggled with accuracy. The findings suggest that the DNN SSD model is more suitable for reliable face recognition applications, despite requiring more computational resources

Author
febinsunny2004
Language
EN