A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition
Joint Authors
Bhattacharjee, Debotosh
Kundu, Mahantapas
Nasipuri, Mita
Kar, Arindam
Basu, Dipak Kumar
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-10
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In this paper a nonlinear Gabor Wavelet Transform (GWT) discriminant feature extraction approach for enhanced face recognition is proposed.
Firstly, the low-energized blocks from Gabor wavelet transformed images are extracted.
Secondly, the nonlinear discriminating features are analyzed and extracted from the selected low-energized blocks by the generalized Kernel Discriminative Common Vector (KDCV) method.
The KDCV method is extended to include cosine kernel function in the discriminating method.
The KDCV with the cosine kernels is then applied on the extracted low-energized discriminating feature vectors to obtain the real component of a complex quantity for face recognition.
In order to derive positive kernel discriminative vectors, we apply only those kernel discriminative eigenvectors that are associated with nonzero eigenvalues.
The feasibility of the low-energized Gabor-block-based generalized KDCV method with cosine kernel function models has been successfully tested for classification using the L1, L2 distance measures; and the cosine similarity measure on both frontal and pose-angled face recognition.
Experimental results on the FRAV2D and the FERET database demonstrate the effectiveness of this new approach.
American Psychological Association (APA)
Kar, Arindam& Bhattacharjee, Debotosh& Basu, Dipak Kumar& Nasipuri, Mita& Kundu, Mahantapas. 2012. A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-470884
Modern Language Association (MLA)
Kar, Arindam…[et al.]. A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-470884
American Medical Association (AMA)
Kar, Arindam& Bhattacharjee, Debotosh& Basu, Dipak Kumar& Nasipuri, Mita& Kundu, Mahantapas. A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-470884
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470884