Open-CV-Face-Recognition

Real-time face recognition project with Open-CV and Python

Hi there!

• This is a real-time face recognition system which can detect Face and also it can recognise Face. (Recognise only when the sample data of that face has already in Data folder)
• There are two Python file.

1. facedata_collect.py

This python file collects data and stores it in data folder. Capture atleast 20 sample data for better performance.

• haarcascade_frontalface_alt.xml used for face detection.

2. face_detect.py

This pyhton file detect and recognise face.

• I have used KNN(K-Nearest Neighbors) Algorithm as Recognizer.
• • I have used Euclidean Distance for distance metric of continuous variables.
• haarcascade_frontalface_alt.xml used for face detection.

Process of Face_Recognition System:

• Phase 1: Data gathering
• • Gather face data(images) of the person to be identified.
• • Stores the data into dataset(data folder).
• Phase 2: Train the recognizer
• • Feed the data and id of each face to the recognizer so it can learn.
• Phase 3: Recognition
• • Recognize faces.

Prerequisites

• Python 3.6 or higher version must be installed in the System where you are running.
• OpenCV need to installed.
• Need atleast one configured camera.

Useful Links:

• KNN Algorithm: https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm#Parameter_selection
• OpenCV: https://opencv.org/
• haarcascade_classifier: https://docs.opencv.org/3.4/db/d28/tutorial_cascade_classifier.html