Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition
Joint Authors
Ali Khan, Sajid
Hussain, Ayyaz
Basit, Abdul
Akram, Sheeraz
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-20
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Ali Khan, Sajid& Hussain, Ayyaz& Basit, Abdul& Akram, Sheeraz. 2014. Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1050557
Modern Language Association (MLA)
Ali Khan, Sajid…[et al.]. Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition. The Scientific World Journal No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1050557
American Medical Association (AMA)
Ali Khan, Sajid& Hussain, Ayyaz& Basit, Abdul& Akram, Sheeraz. Kruskal-Wallis-Based Computationally Efficient Feature Selection for Face Recognition. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1050557
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050557