Person Identification Using Machine Learning

Tangudu venkata sai , A Hema Lakshmi , J Goureeswari , K Lohitha sri , Dr. P Satish Kumar

Attendance, Standalone system, Identification, Face recognition, Detection, Pixels, Gradients.

Nowadays taking attendance is mandatory everywhere. That can be school, college, office, etc... In school, the attendance is taken by a teacher orally, whereas in college it can be biometric, even in office the same. Rather than using these methods, we thought to have a standalone system, so that it will take the photos and mark the attendance automatically. we did this project by using a few machine learning algorithms. By using these algorithms the system can identify the person using the face marks, gradient points; with the help of these marks, points a person can be identified and attendance will be marked.

Published Paper   E-Certificate

"Person Identification Using Machine Learning", IJEDR - INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH (www.IJEDR.org), ISSN:2321-9939, Vol.10, Issue 2, page no.123-126, June 2022, Available :https://rjwave.org/IJEDR/papers/IJEDR2202021.pdf

Volume 10 Issue 2, May-2022

Pages : 123-126

Paper Reg. ID: IJEDR_220083

Published Paper Id: IJEDR2202021

Research Area: Information Technology 

Country: NARASANNAPETA, Andhra Pradesh, India

Published Paper PDF: https://rjwave.org/IJEDR/papers/IJEDR2202021

Published Paper URL: https://rjwave.org/IJEDR/viewpaperforall?paper=IJEDR2202021

ISSN: 2321-9939 | IMPACT FACTOR: 9.37 Calculated By Google Scholar | ESTD YEAR: 2013

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.37 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJEDR (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition