Open AccessTESTING OF MODULES FOR FACIAL RECOGNITION
Author(s) -
N. Ramya,
Druva Manasa,
N.Ramya Sri
Publication year - 2020
Publication title -
epra international journal of research and development
Language(s) - English
Resource type - Journals
ISSN - 2455-7838
DOI - 10.36713/epra5586
Subject(s) - computer science , facial recognition system , biometrics , task (project management) , attendance , face (sociological concept) , artificial intelligence , face detection , computer vision , encoding (memory) , three dimensional face recognition , pattern recognition (psychology) , engineering , social science , systems engineering , sociology , economics , economic growth
Face is the crucial part of the human body that uniquely identifies a person. Using the face characteristics as biometric, the face recognition system can be implemented. The most demanding task in any organization is attendance marking. In traditional attendance system, the students are called out by the teachers and their presence or absence is marked accordingly. However, these traditional techniques are time consuming and tedious. In this project, the Open CV based face recognition approach has been proposed. This model integrates a camera that captures an input image, an algorithm for detecting face from an input image, encoding and identifying the face, marking the attendance in a spreadsheet and converting it into PDF file. The training database is created by training the system with the faces of the authorized students. The cropped images are then stored as a database with respective labels. The features are extracted using LBPH algorithm.