INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
P Anil Kumar
, K Lohitha Amar Sai , V Geethika , Sanjeevi Chaitanya , B Hemanth Kumar, Manoj Kumar
Unique Id:
IJSDR2006028
Published In:
Volume 5 Issue 6, June-2020
Abstract:
Face recognition is the identification of humans by the unique characteristics of their faces. Face recognition technology is the least intrusive and fastest biometric technology. It works with the most obvious individual identifier- the human face. This paper will show how we can implement algorithms for face detection and recognition in image processing to build a system that will detect and recognise frontal faces of students in a classroom. “A face is the front part of a person’s head from the forehead to the chin, or the corresponding part of an animal” (Oxford Dictionary). In human interactions, the face is the most important factor as it contains important information about a person or individual. All humans have the ability to recognize individuals from their faces. We have developed a working prototype of a system that will detect the frontal faces of students from a picture taken in a classroom. The second part of the system will also be able to perform a facial recognition against a small database
Keywords:
FRT, Neural Networks, KNN
Cite Article:
"Attendance System using Facial Recognition", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 6, page no.168 - 172, June-2020, Available :http://www.ijsdr.org/papers/IJSDR2006028.pdf
Downloads:
000337072
Publication Details:
Published Paper ID: IJSDR2006028
Registration ID:191907
Published In: Volume 5 Issue 6, June-2020
DOI (Digital Object Identifier):
Page No: 168 - 172
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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