Real Time PCA based Face Recognition

Author: Ng Zheng Jue, Heng Chia Ying, Tan Hong Guan, Ng Rui Qi

• This is a project developed in undergraduate Year 3 - Semester 3 in the course (Face Recognition with Machine Learning).
• This repository consists of code to perform real-time face recognition based on the dataset given in the 'Face_Image' directory. This is done by
  1. Detect the face using Cascaded Classifier
  2. Project the data into lower dimensions by Principal Components Analysis (PCA)
  3. Use KNN to recognize the face based on the training dataset in 'Face_Image' directory
• This repository consists of
  • 1 Jupyter Notebook file PCA_based_Face_Recognition.ipynb that consists of overall experimental design, development of method including training and evaluating the classifier and lastly the real-time face recognition system build.
  • Face_Image folder to store the face image for recognition
  • Image folder to store image for display in README.md
  • Library required to run the code

!pip install -U scikit-learn
!pip install numpy matplotlib pandas
!pip install xgboost catboost lightgbm

Overall Experiment Design