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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM11868

FACE IDENTIFICATION BASED ATTENDANCE

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM11868

Volume:

6 |

3 |

Mar 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM11868

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

K

K.Sivakumar

TGS

Taneeru Giridhar Satyanarayana

YD

Yella Dhanaraj

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Abstract

In this digital world, face recognition system plays an important role in almost every sector. Traditionally, the attendance of scholars has been a serious concern for the universities and therefore the faculty has got to spend tons of your time and may be a tedious job to mark attendance manually. Current biometric attendance system isn’t automatic that wastes tons of your time , difficult to take care of and requires a queue for scanning fingerprints to mark their attendance.This model subsume a camera that captures input image, an algorithm to detect a face from the input image, encode it and recognize the face. The system camera captures the image and sends it to the server where faces are recognized from the database and shows their name and mark the attendance in a spreadsheet. Other than just marking attendance, it also marks the time at which the attendance was taken. In another word, the main goal of this project is to build a system that help lecturers take students attendance in a professional way. In this system we can recognise a person’s face and record attendance from that person so that attendance activities are more efficient and faster.

KEYWORDS

Automatic attendance Face Recognition Attendance system Image Blending Face Detection

Cite This Article

K.Sivakumar, Taneeru Giridhar Satyanarayana, Yella Dhanaraj, "FACE IDENTIFICATION BASED ATTENDANCE," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 3, Mar 2022. https://doi.org/10.55041/IJSREM11868

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Publication Date

3/28/2022

Peer Review Type

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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No funding information available for this research.

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