UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRFN06053


Registration ID:
403972

Page Number

318-323

Share This Article


Jetir RMS

Title

TO PREDICT TRAIN AND TEST DATASET USING PRINCIPAL COMPONENT ANALYSIS

Abstract

The proposed system is to classify face mask detection using covid19 precaution in images using convolution neural network. Face mask detection using Machine learning and Deep learning achieved results however the existing methods need to be more robust in the real-time environment. The lack of suitable datasets and DL-based models for face mask detection that can detect a person without a face-mask in real-time to avoid the spread of covid19 is still ongoing. For this purpose, a large-scale dataset that contains of two classes of with mask and without mask, then it will test and train the model of the image. This paper represents an implementation of Principal Component Analysis (PCA) on masked and non-masked face recognition.

Key Words

Principal Component Analysis (PCA) algorithm, Machine leaning, Deep Learning, Convolution Neural Network, Face Recognition.

Cite This Article

"TO PREDICT TRAIN AND TEST DATASET USING PRINCIPAL COMPONENT ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.318-323, June-2022, Available :http://www.jetir.org/papers/JETIRFN06053.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

"TO PREDICT TRAIN AND TEST DATASET USING PRINCIPAL COMPONENT ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp318-323, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06053.pdf

Publication Details

Published Paper ID: JETIRFN06053
Registration ID: 403972
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 318-323
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000278

Print This Page

Current Call For Paper

Jetir RMS