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Face Recognition using OpenCV

Shivani Duggi1 , Khajabani S.2 , Katha Harshitha3 , N.B. Shaguftha4 , M. Nagaraj5

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-5 , Page no. 187-191, May-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i5.187191

Online published on May 30, 2020

Copyright © Shivani Duggi, Khajabani S., Katha Harshitha, N.B. Shaguftha, M. Nagaraj . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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How to Cite this Paper

IEEE Style Citation: Shivani Duggi, Khajabani S., Katha Harshitha, N.B. Shaguftha, M. Nagaraj, “Face Recognition using OpenCV,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.5, pp.187-191, 2020.

MLA Style Citation: Shivani Duggi, Khajabani S., Katha Harshitha, N.B. Shaguftha, M. Nagaraj "Face Recognition using OpenCV." International Journal of Computer Sciences and Engineering 8.5 (2020): 187-191.

APA Style Citation: Shivani Duggi, Khajabani S., Katha Harshitha, N.B. Shaguftha, M. Nagaraj, (2020). Face Recognition using OpenCV. International Journal of Computer Sciences and Engineering, 8(5), 187-191.

BibTex Style Citation:
@article{Duggi_2020,
author = {Shivani Duggi, Khajabani S., Katha Harshitha, N.B. Shaguftha, M. Nagaraj},
title = {Face Recognition using OpenCV},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2020},
volume = {8},
Issue = {5},
month = {5},
year = {2020},
issn = {2347-2693},
pages = {187-191},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5132},
doi = {https://doi.org/10.26438/ijcse/v8i5.187191}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i5.187191}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5132
TI - Face Recognition using OpenCV
T2 - International Journal of Computer Sciences and Engineering
AU - Shivani Duggi, Khajabani S., Katha Harshitha, N.B. Shaguftha, M. Nagaraj
PY - 2020
DA - 2020/05/30
PB - IJCSE, Indore, INDIA
SP - 187-191
IS - 5
VL - 8
SN - 2347-2693
ER -

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Abstract

The rate of computer power steadily doubles every 13 months, with this face detection and recognition has transcended from an esoteric to a popular area of research in computer vision and one of the better and successful applications of image analysis and algorithm based understanding. Because of the intrinsic nature of the problem, computer vision is not only a computer science area of research, but also the object of neuro- scientific and psychological studies, mainly because of the general opinion that advances in computer image processing and understanding research will provide insights into how our brain works and vice-versa. Considering the general curiosity and interest in the matter, we propose to create and develop a facial recognition based attendance management system, using Intel’s open source computer vision project, OpenCV and Microsoft’s .NET framework. The paper describes how to take student’s attendance using face recognition. The face recognition is implemented with the help of Local Binary Patterns Histogram (LBPH) algorithm. The system will recognize the face of the student and saves the response in database automatically

Key-Words / Index Term

Automatic, Database, Face Recognition, LBPH

References

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