Implement a face recognition system by extracting relevant features from the images provided using PCA algorithm, LDA, and LBP algorithm.
The following steps are performed for data pre-processing:
- Detect the faces in the image using Haar Cascades Classifier.
- Detect the facial landmarks and extract the facial features.
- Rotate and scale the image.
- Using the extracted facial features create an oval region corresponding to the face and reset all pixels outside the oval region to a constant value.
Following steps are used to perform face recognition from the processed faces stored as 256X256 images: • PCA method implementation for face recognition • Face recognition using existing LDA and LBP methods.