CNN-based student attendance system

CNN-based student attendance system

Registration ID: IJNRD_213542

Published ID: IJNRD2402069

DOI: Click Here to Get

Deepali Mishra , Manu Mishra , Ujjawal Shukla , Akhil Pratap Singh

face recognition-based attendance system, hybrid feature extraction, CNN PCA, real-time camera, Computer vision

The study of human face recognition is one of the advancements in computer vision. The attendance system stores face in a face database by using them as objects to be detected, identified, and recorded as a person's identification. Face recognition of the object faces photographed by the camera is achieved by comparing face image data collected by the camera with face photos that have been saved in the face database. This study's face recognition-based attendance system uses a hybrid feature extraction technique that combines CNN and PCA (Principal Component Analysis). The goal of combining these techniques is to create a feature extraction process that is more precise. This camera's face recognition-based attendance system works incredibly well and efficiently to increase the accuracy of user data. This face recognition-based attendance system uses a camera with high accuracy and very accurate data processing, resulting in a dependable and potent real-time human face identification system. Face recognition is one of the most efficient applications for image processing and plays a crucial part in the technical domain. Identifying a person's face is a current authentication problem, particularly regarding school attendance. The process of identifying students using face bio-statistics based on high-definition monitoring and other computer technologies is known as the "face recognition" attendance system. The goal of this system's creation is to digitize the dated method of taking attendance by calling names and keeping handwritten records. The methods used today to take attendance are laborious and time-consuming. Manually recording attendance allows for easy manipulation of the records.

Published Paper   E-Certificate

"CNN-based student attendance system ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 2, page no.a602-a607, February-2024, Available :https://ijnrd.org/papers/IJNRD2402069.pdf

Volume 9 Issue 2, February-2024

Pages : a602-a607

Paper Reg. ID: IJNRD_213542

Published Paper Id: IJNRD2402069

Downloads: 000121218

Research Area: Electronics & Communication Engg. 

Country: Satna, Madhya Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2402069.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402069

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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

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