sy1300 / lbph-face-recognition

This is a simple face recognition project using Python OpenCV, made to help some friends at work.

lbph-face-recognition

This is a simple face recognition project using Python OpenCV, made to help some friends at work.

Requirements

• Python 3.6+ (Anaconda is recommended)
• OpenCV
• Numpy
• Pandas

How to Use

First of all, navigate to the directory where the project is.

Photo Shooting

1. Run python take-photos.py.
2. Enter an ID and a name.
3. Enter a camera ID (the default is 0), if you only have one camera in your PC, just press ENTER.
4. Press the s key to take photos of your face (it will only work when your face is detected and there's enough light in the room).
5. Press the q key when you're done.

• Take at least 25 photos of the face of each person.
• Repeat this with at least one different person, otherwise you will get an error.

Training

1. Run python train.py.
2. The program will generate the file "classifiers/lbphClassifier.yml"

• This may take some time depending on how many photos you took.

Recognizing

1. Run python recognize.py

• The number under your name is the "Trust Distance", the less the distance (closer to 0), the more reliable is the classification.