Face-Detection-and-Recognition

•Goal is to detect and recognize face from frame.
•It works on three modules first module will detects the face with different expressions and save frames with corresponding details about individuals using sqlite database.
•The Local Binary Patterns Histograms recognizer is used for training the frames. Haar feature based cascade classifier is used.
•The trained model and corresponding information is used to match with live frame.
•Libraries used are opencv, numpy, sqlite, and pillow.
•Execute the modules such that creator, trainner,face_detect_recog.

I will provid some useful links for better understanding of concepts like OpenCV,face detection, face recognization.
OpenCVS https://docs.opencv.org/2.4/doc/tutorials/tutorials.html
Face detection and recognization https://blog.octo.com/en/basics-face-recognition/
Harrcascades xml files https://github.com/opencv/opencv/tree/master/data/haarcascades
forumes and concepts : https://thecodacus.com