Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition

Face recognition in today’s technological world, and face recognition applications attain much more importance. Most of the existing work used frontal face images to classify face image. However these techniques fail when applied on real world face images. The proposed technique effectively extracts...

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Main Authors: Sajid Ali Khan, Ayyaz Hussain, Abdul Basit, Sheeraz Akram
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/672630
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author Sajid Ali Khan
Ayyaz Hussain
Abdul Basit
Sheeraz Akram
author_facet Sajid Ali Khan
Ayyaz Hussain
Abdul Basit
Sheeraz Akram
author_sort Sajid Ali Khan
collection DOAJ
description Face recognition in today’s technological world, and face recognition applications attain much more importance. Most of the existing work used frontal face images to classify face image. However these techniques fail when applied on real world face images. The proposed technique effectively extracts the prominent facial features. Most of the features are redundant and do not contribute to representing face. In order to eliminate those redundant features, computationally efficient algorithm is used to select the more discriminative face features. Extracted features are then passed to classification step. In the classification step, different classifiers are ensemble to enhance the recognition accuracy rate as single classifier is unable to achieve the high accuracy. Experiments are performed on standard face database images and results are compared with existing techniques.
format Article
id doaj-art-7e7e64ce42c64c31a6e3cb05ddf8858f
institution Kabale University
issn 2356-6140
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-7e7e64ce42c64c31a6e3cb05ddf8858f2025-02-03T01:31:35ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/672630672630Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face RecognitionSajid Ali Khan0Ayyaz Hussain1Abdul Basit2Sheeraz Akram3Department of Software Engineering, Foundation University, Rawalpindi 46000, PakistanDepartment of Computer Science and Software Engineering, International Islamic University, Islamabad 44000, PakistanDepartment of Software Engineering, Foundation University, Rawalpindi 46000, PakistanDepartment of Software Engineering, Foundation University, Rawalpindi 46000, PakistanFace recognition in today’s technological world, and face recognition applications attain much more importance. Most of the existing work used frontal face images to classify face image. However these techniques fail when applied on real world face images. The proposed technique effectively extracts the prominent facial features. Most of the features are redundant and do not contribute to representing face. In order to eliminate those redundant features, computationally efficient algorithm is used to select the more discriminative face features. Extracted features are then passed to classification step. In the classification step, different classifiers are ensemble to enhance the recognition accuracy rate as single classifier is unable to achieve the high accuracy. Experiments are performed on standard face database images and results are compared with existing techniques.http://dx.doi.org/10.1155/2014/672630
spellingShingle Sajid Ali Khan
Ayyaz Hussain
Abdul Basit
Sheeraz Akram
Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition
The Scientific World Journal
title Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition
title_full Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition
title_fullStr Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition
title_full_unstemmed Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition
title_short Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition
title_sort kruskal wallis based computationally efficient feature selection for face recognition
url http://dx.doi.org/10.1155/2014/672630
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AT ayyazhussain kruskalwallisbasedcomputationallyefficientfeatureselectionforfacerecognition
AT abdulbasit kruskalwallisbasedcomputationallyefficientfeatureselectionforfacerecognition
AT sheerazakram kruskalwallisbasedcomputationallyefficientfeatureselectionforfacerecognition