Enhancement Techniques for Improving Facial Recognition Performance in Convolutional Neural Networks

Conference paper

Sharif, S., Olusegun, M., Zorto, A. and Elmedany, W. 2022. Enhancement Techniques for Improving Facial Recognition Performance in Convolutional Neural Networks. 3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies. University of Bahrain, Bahrain 20 - 21 Nov 2022 IEEE. https://doi.org/10.1109/3ICT56508.2022.9990811
AuthorsSharif, S., Olusegun, M., Zorto, A. and Elmedany, W.
TypeConference paper
Abstract

The advent of convolutional neural networks (CNNs) to the development of face recognition system has been a game changer in the field of computer vision and pattern recognition. This research work uses a pre trained MobileNet-V1 model to develop an effective CNN model capable of high performance. We also tackle several common facial recognition challenges which include occlusions, illumination variations, make-ups, pose variation and ageing through the use of several improvement techniques. The techniques include adopting a less computationally costly approach, transfer learning and hyper-parameter finetuning. The Top-1 accuracy 70.6% and Top-5 accuracy 89.5% of the base MobileNet-V1 model has been improved using these techniques to achieve training accuracy of 95% and accuracies of 96.4%, 98.0% and 99.1% on the Pins face recognition dataset, FaceScrub data-set and LFW data-set, respectively. The work done so far illustrates the need for further research into improvement techniques for convolutional neural networks.

Year2022
Conference3ICT 2022: International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies
PublisherIEEE
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Publication dates
Online30 Dec 2022
Publication process dates
AcceptedAug 2022
Deposited12 Sep 2022
Journal citationpp. 494-499
ISSN2770-7466
Book title2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)
ISBN9781665451932
9781665451949
Digital Object Identifier (DOI)https://doi.org/10.1109/3ICT56508.2022.9990811
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/9989532/proceeding
Copyright holder© 2022, IEEE
Copyright informationPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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