Face recognition using pca in python github. py file (You can create new dataset by extracti...
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Face recognition using pca in python github. py file (You can create new dataset by extracting faces using FaceExtractor provided) Jul 12, 2025 · It is easy to implement and thus used in many early face recognition applications. The project uses ORL dataset, You can put your dataset in the images folder and change the name of the dataset in the dataset. This repository contains the code and data for a mini-project on facial expression recognition using machine learning algorithms. face detection using OpenCV Haar Cascade (Viola-Jones style), face preprocessing (grayscale conversion, illumination normalization, face alignment, resize), recognition using PCA or Fisherfaces (PCA + LDA), unknown-person rejection with a learned distance threshold, live demonstration GUI for camera-based multi-face detection and recognition. Developed by Sirovich and Kirby and used by Turk and Pentland, this approach is the first working facial recognition technology and a baseline for modern systems. Face recognition problem would be much more effectively solved by training convolutional neural networks but this family of models is outside of the scope of the scikit-learn library. py # Giao diện ứng dụng chính ├── face_recognition. . py # Phát hiện và nhận diện khuôn mặt ├── data_loader. This project implements a classical face recognition system using: PCA (Principal Component Analysis) for dimensionality reduction SVM (Support Vector Machine) for multi-class classification Streamlit for web deployment Contribute to rajkakadiya761/Face-Recognition-Project-Python- development by creating an account on GitHub.
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