Face Recognition : live face recognition using Python and OpenCV
Database has been created using SQLite studio. here is the link to download SQLite studio.
The project can be divided into three major subparts.
The face of the person is detected using haarscascade classifier. An image is stored in a particular format i.e. user.userid.imagenumber .
Images are aligned together one after the other.
example:
User.1.1 User.1.2 User.1.3Training is done using LBPH face recognizer. To know more about it click here .
First the face is detected and then LBPH recognizer is used to identify the detected face.