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Development of an Enhanced Human Face Recognition Model Cover

Development of an Enhanced Human Face Recognition Model

Journal of Information Assurance and Security
Volume 19 (2024): Issue 2 (September 2024)
By: ,  ,  ,   and    
Open Access
|Sep 2024
Figures & tables

Figures & Tables

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graphic/j_ias-2024-0004_cv_003.jpg
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Figure 1.

Acquired images and preprocessing operations

Table 1.

Time Spent for Training Datasets

Dimension SizeTime1(s)Time2(s)Time3(s)Ave. Time (s)
100 by 100100.5093.2199.2897.66
200 by 200132.12144.31143.20139.54
Table 2.

Results of Enhanced Model at different Threshold Values.

Threshold ValuesAccuracy (%)Sensitivity (%)Specificity (%)FPR (%)Recognition Time (sec)
0.195.2899.1081.1019.0022.00
0.295.2799.1081.1019.0024.06
0.396.9499.0087.7812.2222.02
0.497.7898.8894.445.5623.03
0.598.6198.8997.782.2221.01
DOI: https://doi.org/10.2478/ias-2024-0004 | Journal eISSN: 1554-1029 | Journal ISSN: 1554-1010
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Language: English
Page range: 50 - 55
Published on: Sep 23, 2024
Published by: Cerebration Science Publishing Co., Limited
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Face Recognition,
Feature Extraction,
Facial Images,
Computer Vision,
Pattern Recognition,
Artificial Intelligence
Related subjects:
Computer sciences,
Fundamentals of computer sciences,
Theoretical computer sciences,
IT-security and cryptology

© 2024 Rume Elizabeth Yoro, Oluwatolani Achimugu, Philip Achimugu, Olalekan Sunday Damilare, Monday Abutu Idakwo, published by Cerebration Science Publishing Co., Limited
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.

Volume 19 (2024): Issue 2 (September 2024)
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