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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Face Recognition Based Attendance System Using Machine Learning Algorithms
Authors Name: Nikshep Rohan Kurapati
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IJRTI_188117
Published Paper Id: IJRTI2401111
Published In: Volume 9 Issue 1, January-2024
DOI:
Abstract: This paper describes a novel attendance system that uses facial recognition technology to automate attendance-taking in classrooms or workplaces. Instead of manually recording attendance, the system detects and identifies individuals in real-time by analyzing their facial features using computer vision and machine learning techniques. The system is designed to be fast and accurate and can handle variations in lighting, pose, and facial expressions. It uses advanced deep-learning models for facial recognition and has been proven to achieve high accuracy rates in identifying faces and recording attendance. The proposed system has the potential to streamline administrative processes and increase efficiency in various settings, including schools, universities, and workplaces.
Keywords: Face Recognition, Face Detection, Convolution Neural Network, Haar Classifier, Cascading Classifier, Feature Extraction.
Cite Article: "Face Recognition Based Attendance System Using Machine Learning Algorithms", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 1, page no.751 - 756, January-2024, Available :http://www.ijrti.org/papers/IJRTI2401111.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2401111
Registration ID:188117
Published In: Volume 9 Issue 1, January-2024
DOI (Digital Object Identifier):
Page No: 751 - 756
Country: Guntur, Andhra Pradesh, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2401111
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2401111
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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