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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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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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 1537-744X |
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 |
work_keys_str_mv | AT sajidalikhan kruskalwallisbasedcomputationallyefficientfeatureselectionforfacerecognition AT ayyazhussain kruskalwallisbasedcomputationallyefficientfeatureselectionforfacerecognition AT abdulbasit kruskalwallisbasedcomputationallyefficientfeatureselectionforfacerecognition AT sheerazakram kruskalwallisbasedcomputationallyefficientfeatureselectionforfacerecognition |