joyhuang9473 / example-ga-fisher

#GA-Fisher Face Recognition System

##Usage

1. put image directories (1, 2, ..., 49) into TrainDatabase
2. make sure that 'cvprtoolbox-code-297' is added to path
3. launch 'main.m' (UI mode) or 'GAFisherDemo.m' (console mode)

##Files

• calctime.m
  time formatter function, return 'hh:mm:ss'
• CalRecRate.m
  calculate the recognition rate of trained system
• cvprcheck.m
  check if cvprtoolbox is added to path or not
• cvprtoolbox-code-297
  cvpr tool box, see cvprtoolbox-code-297/readme.txt for more details
• e_name_vl.mat
  classes' label (students' name)
• FaceRec.m
  menu of face recognition
• fprintbackspace.m
  print \b (backspace)
• GAFisherCore.m
  GA-Fisher implementation
• GAFisherDemo.m
  simple demo of training
• GApca.m
  GA-PCA implementation
• licence.txt
  free licence
• LoadImage.m
  load an image and convert into vector
• main.m
  main menu
• name.mat
  classes' label (students' id)
• parsecoeff.m
  parse coefficient of input
• README.MD
  you are reading this
• Recognition.m
  recognize an image
• ScatterMat.m
  calculate scatter matrix (Sw, Sb) and mean
• TrainDatabase.m
  load input image for all 49 people
• Whiten.m
  whitening procedure and LDA