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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM17107

Attendance using Facial Recognition

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM17107

Volume:

6 |

12 |

Dec 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SK

Shweta Kambare

AW

Ajinkya Walunj

SA

Swaraj Ajgaonkar

AG

Ajay Gonepuri

AB

Akash Bhandari

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Abstract

Whenever it comes to attendance, the two best biometrics are face and fingerprint. They are the most unique in a human being. The security and accuracy are also maintained as for marking the attendance the person himself/herself has to be present. But as far as time factor is concerned the facial recognition takes an edge over fingerprint. One of the most important as well as demanding is attendance marking in any school, college or any organization where group of people work. However, the traditional techniques of calling out the name and manually marking the attendance are time consuming and tedious. This particular project has been designed and implemented aiming eliminating all above concerns. The help of open-CV technology has been taken. A face recognition module has been created and also locating the face landmarks and encoding the image data provided is also part of initial part of designing. Webcam has been used to capture images.

KEYWORDS

Attendance biometric face image module open-CV.

Cite This Article

Shweta Kambare, Ajinkya Walunj, Swaraj Ajgaonkar, Ajay Gonepuri, Akash Bhandari, "Attendance using Facial Recognition," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 12, Dec 2022.

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Publication Date

12/11/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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