A Hybrid Method of Enhancing Accuracy of Facial Recognition System Using Gabor Filter and Stacked Sparse Autoencoders Deep Neural Network

Face recognition has grown in popularity due to the ease with which most recognition systems can find and recognize human faces in images and videos. However, the accuracy of the face recognition system is critical in ascertaining the success of a person’s identification. A lack of sufficiently larg...

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Bibliographic Details
Published in:	Applied sciences Vol. 12; no. 21; p. 11052
Main Authors:	Jaber, Abdullah Ghanim, Muniyandi, Ravie Chandren, Usman, Opeyemi Lateef, Singh, Harprith Kaur Rajinder
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.11.2022
Subjects:	Accuracy Algorithms Bandwidths Datasets Deep learning deep neural network Efficiency face recognition Facial recognition technology Gabor filter Human subjects hybrid method Localization Methods Neural networks stacked sparse autoencoders
ISSN:	2076-3417, 2076-3417
Online Access:	Get full text
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