Face recognition using adaptive margin fisher’s criterion and linear discriminant analysis (AMFC-LDA)
Joint Authors
Murtada, Maryam
Shah, Jamal Husayn
Rida, Mudassar
Sharif, Muhammad
Source
The International Arab Journal of Information Technology
Issue
Vol. 11, Issue 2 (31 Mar. 2014)11 p.
Publisher
Publication Date
2014-03-31
Country of Publication
Jordan
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Selecting a low dimensional feature subspace from thousands of features is a key phenomenon for optimal classification.
Linear Discriminant Analysis (LDA) is a basic well recognized supervised classifier that is effectively employed for classification.
However, two problems arise in intra class during Discriminant Analysis.
Firstly, in training phase the number of samples in intra class is smaller than the dimensionality of the sample which makes LDA unstable.
The other is high computational cost due to redundant and irrelevant data points in intra class.
An Adaptive Margin Fisher’s Criterion Linear Discriminant Analysis (AMFC-LDA) is proposed that addresses these issues and overcomes the limitations of intra class problems.
Small Sample Size problem is resolved through modified maximum margin criterion which is a form of customized LDA and Convex hull.
Inter class is defined using LDA while intra class is formulated using quick hull respectively.
Similarly, computational cost is reduced by reformulating within class scatter matrix through Minimum Redundancy Maximum Relevance (mRMR) algorithm while preserving Discriminant Information.
The proposed algorithm reveals encouraging performance.
Finally, a comparison is made with existing approaches.
American Psychological Association (APA)
Murtada, Maryam& Sharif, Muhammad& Rida, Mudassar& Shah, Jamal Husayn. 2014. Face recognition using adaptive margin fisher’s criterion and linear discriminant analysis (AMFC-LDA). The International Arab Journal of Information Technology،Vol. 11, no. 2.
https://search.emarefa.net/detail/BIM-334215
Modern Language Association (MLA)
Murtada, Maryam…[et al.]. Face recognition using adaptive margin fisher’s criterion and linear discriminant analysis (AMFC-LDA). The International Arab Journal of Information Technology Vol. 11, no. 2 (Mar. 2014).
https://search.emarefa.net/detail/BIM-334215
American Medical Association (AMA)
Murtada, Maryam& Sharif, Muhammad& Rida, Mudassar& Shah, Jamal Husayn. Face recognition using adaptive margin fisher’s criterion and linear discriminant analysis (AMFC-LDA). The International Arab Journal of Information Technology. 2014. Vol. 11, no. 2.
https://search.emarefa.net/detail/BIM-334215
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-334215