Improving Face Recognition Systems Using a New Image Enhancement Technique, Hybrid Features and the Convolutional Neural Network

Improving Face Recognition Systems Using a New Image Enhancement Technique, Hybrid Features and the Convolutional Neural Network

The performance of most face recognition systems (FRSs) in unconstrained environments is widely noted to be sub-optimal. One reason for this poor performance may be the lack of highly effective image pre-processing approaches, which are typically required before the feature extraction and classifica...

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Bibliographic Details
Main Authors: Muhtahir O. Oloyede, Gerhard P. Hancke, Herman C. Myburgh
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Face recognition
image enhancement
hybrid features
metaheuristic algorithms
unconstrained environments
Online Access:https://ieeexplore.ieee.org/document/8550634/

Internet

https://ieeexplore.ieee.org/document/8550634/

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