Enhanced CNN-Based Facial Recognition Optimization in MATLAB

Facial recognition is a cornerstone of modern biometric systems. This project showcases an optimised Convolutional Neural Network (CNN) model developed in MATLAB for highly accurate and efficient facial recognition. By enhancing traditional CNN architecture and fine-tuning hyperparameters, this approach improves both recognition speed and accuracy.

🔍 Key Highlights:

Overview of CNN-based facial recognition architecture

Dataset preparation and preprocessing in MATLAB

Enhanced CNN design and training

Accuracy, precision, and computational time analysis

Real-time recognition demo

Applications in security, attendance systems, and smart devices

This project is ideal for anyone interested in AI-powered face recognition, biometric authentication, or exploring deep learning applications in MATLAB.

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Видео Enhanced CNN-Based Facial Recognition Optimization in MATLAB канала Takeoff Edu Group