This paper is published in Volume-5, Issue-2, 2019
Area
Pune
Author
Pankaj Phanse, Aditya Nitin Tilekar, Pranav Aminbhavi, Pooja Dherange, Snehal Rokade
Org/Univ
AISSMS Polytechnic, Pune, Maharashtra, India
Keywords
Algorithms, Security, Authentication, Ridges, Valleys, Authorization, Database
Citations
IEEE
Pankaj Phanse, Aditya Nitin Tilekar, Pranav Aminbhavi, Pooja Dherange, Snehal Rokade. Face attendance, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Pankaj Phanse, Aditya Nitin Tilekar, Pranav Aminbhavi, Pooja Dherange, Snehal Rokade (2019). Face attendance. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.
MLA
Pankaj Phanse, Aditya Nitin Tilekar, Pranav Aminbhavi, Pooja Dherange, Snehal Rokade. "Face attendance." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.
Pankaj Phanse, Aditya Nitin Tilekar, Pranav Aminbhavi, Pooja Dherange, Snehal Rokade. Face attendance, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Pankaj Phanse, Aditya Nitin Tilekar, Pranav Aminbhavi, Pooja Dherange, Snehal Rokade (2019). Face attendance. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.
MLA
Pankaj Phanse, Aditya Nitin Tilekar, Pranav Aminbhavi, Pooja Dherange, Snehal Rokade. "Face attendance." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.
Abstract
Educational institutions’ administrators in our country and the whole world are concerned about the regularity of student attendance. Student overall academic performance is affected by it. The conventional method of taking attendance by calling names or signing on paper is very time consuming, and hence inefficient. The system is made up of a camera which takes the photos of individuals and a computer unit which performs face detection (locating faces from the image removing the background information) and face recognition (identifying the persons) First, face images are acquired using a webcam to create the database. Face recognition system will detect the location of the face in the image and will extract the features from the detected faces.