UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 11 | November 2024

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Published in:

Volume 11 Issue 10
October-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2410451


Registration ID:
549724

Page Number

e482-e486

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Title

Improving Masked Face Recognition With Vgg16: A Deep Learning Approach

Abstract

Abstract: The recent COVID-19 pandemic has necessitated wearing masks as a protective measure against viral transmission. This has significantly impacted facial recognition technologies, as traditional systems struggle to identify individuals accurately when facial features are partially obscured. The presence of masks has posed substantial challenges for existing facial recognition systems due to the obstruction of key facial landmarks. Consequently, there is an urgent need for new methods that can improve the accuracy and robustness of facial recognition in the context of masked faces. To address the challenges associated with masked face recognition, this study presents a novel method that approach with a modified VGG-16 architecture. The model is fine-tuned to adapt to the masked face recognition task, focusing on the upper face region. The key idea is to leverage transfer learning to extract distinctive features from the upper half of the face, focusing on the forehead and eye regions. This transfer learning approach enables the extraction of the most relevant features from the unobstructed areas. By focusing on the upper half of the face and employing a modified VGG-16 architecture, the system achieves 0.99 recognition accuracy across MFR2 Dataset.

Key Words

Masked Face Recognition, Transfer Learning, VGG-16 architecture

Cite This Article

"Improving Masked Face Recognition With Vgg16: A Deep Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 10, page no.e482-e486, October-2024, Available :http://www.jetir.org/papers/JETIR2410451.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Improving Masked Face Recognition With Vgg16: A Deep Learning Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 10, page no. ppe482-e486, October-2024, Available at : http://www.jetir.org/papers/JETIR2410451.pdf

Publication Details

Published Paper ID: JETIR2410451
Registration ID: 549724
Published In: Volume 11 | Issue 10 | Year October-2024
DOI (Digital Object Identifier):
Page No: e482-e486
Country: nagpur, maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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