Membrane-Inspired Bat Algorithm For Feature Selection To Recognize Faces In Unconstrained Scenarios
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Date
2017-08
Authors
Alsalibi, Bisan A.N.
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
Due to its non-intrusive nature, human analogy, and universal applicability, Face
Recognition (FR) has gained significant attention in the last few decades. Notwithstanding
the impressive developments in FR algorithms under controlled laboratory
conditions, their performance may considerably degrade when moving to the wild.
Intra-class variations such as illumination, occlusion, and expression can result in significant
appearance changes. In this study, high-dimensional Local Binary Patterns
were extracted from face images and fused with Gabor wavelet features using Canonical
Correlation Analysis (CCA). To further enhance the discrimination power of facial
representation, a novel membrane-inspired feature selection approach has been proposed,
where a Binary Bat Algorithm (BBA) under the framework of Membrane Computing
(MC) has been employed. Inherent parallelism and non-determinism are two
distinguishing characteristics of MC that help in maintaining population diversity. In
the proposed membrane-inspired BBA (MIBBA), the structure, evolution, dissolution
and communication rules of MC were integrated into BBA to enhance bat trajectories.
Furthermore, the Great Deluge Algorithm (GDA), has been integrated into the skin
membrane to improve the exploitation ability of MIBBA. Experimental results using
standard FR datasets show that the proposed approach yields competitive recognition
rates and outperforms well-known state-of-the-art methods. Further experimental evaluations
justified the ability of the proposed approach to handle the small sample size
problem, where average recognition rates of 95.29%, 83.03% and 69.28% have been
reported using AR, LFW and GBU databases, respectively.
Description
Keywords
Membrane-inspired bat algorithm for Feature selection , to recognize faces In unconstrained scenarios