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Research Article |

Parallel Hybrid Algorithm for Face Recognition Using Multi-Linear Methods

Author(s): Abeer A. Mohamad Alshiha, Mohammed W. Al-Neama* and Abdalrahman R. Qubaa

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 11, Issue 4

Publisher : FOREX Publication

Published : 09 November 2023

e-ISSN : 2347-470X

Page(s) : 1013-1021

DOI: https://doi.org/10.37391/ijeer.110419

Abstract

This paper introduces a pioneering Hybrid Parallel Multi-linear Face Recognition algorithm that capitalizes on multi-linear methodologies, such as Multi-linear Principal Component Analysis (MPCA), Linear Discriminant Analysis (LDA), and Histogram of Oriented Gradients (HOG), to attain exceptional recognition performance. The Hybrid Feature Selection (HFS) algorithm is meticulously crafted to augment the classification performance on the CK+ and FERET datasets by amalgamating the strengths of feature extraction techniques and feature selection methods. HFS seamlessly incorporates Principal Component Analysis (PCA), Local Discriminant Analysis (LDA), and HOG. The primary aim of this algorithm is to autonomously identify a subset of the most distinctive features from the extracted feature pool, thus elevating classification accuracy, precision, recall, and F1-Score. By amalgamating these methodologies, the algorithm adeptly diminishes dimensionality while conserving pivotal features. Experimental trials on facial image datasets, CK+ and FERET, underscore the algorithm's supremacy in terms of accuracy and computational efficiency when contrasted with conventional linear techniques and even certain deep learning approaches. The proposed algorithm proffers an encouraging solution for real-world face recognition applications where precision and operational efficiency are of paramount significance.

Keywords: Multi-Linear, Parallel Algorithm, Face Recognition, Computer Vision, Multiline Principal Component Analysis.




Abeer A. Mohamad Alshiha, Remote Sensing Center, University of Mosul, Mosul, Iraq; Email: abeer.allaf@uomosul.edu.iq

Mohammed W. Al-Neama*, Education College for Girls, University of Mosul, Mosul, Iraq; Email: mwneama@uomosul.edu.iq

Abdalrahman R. Qubaa, Remote Sensing Center, University of Mosul, Mosul, Iraq; Email: abdqubaa@uomosul.edu.iq

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Abeer A. Mohamad Alshiha, Mohammed W. Al-Neama and Abdalrahman R. Qubaa (2023), Parallel Hybrid Algorithm for Face Recognition Using Multi-Linear Methods. IJEER 11(4), 1013-1021. DOI: 10.37391/ijeer.110419.