Face Recognition using Principal Components Analysis
For Normalization (This step is already performed and the Normalized Images are classified as Test and Train Images)
-
Change the Current Directory to Normalization folder.
-
Copy the Faces and Features Data to the Current Directory.
-
Run Normalization.m file.
-
You can see a folder created 'Faces_Normalized' in the Current Directory which contains Normalized Images.
For Face Recognition using PCA
-
Change the Current Directory to PCA folder.
-
Run GUI_PCA.m file.
-
In GUI:
1. Click "Load Train Data" - creates Training Database.
2. Click "Load Test Path" - choses Test Images Path.
3. Click "Select an Image" - Opens a Popupmenu to select Test Image.
4. Input the No. of Principal Components and Click "Recognize".
- The Matching Images and the Recognition Accuracy are shown in the GUI.