International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
Analysis of Wavelets, Brushlets and Beamlets for Feature Extraction in Face Recognition
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Author Name: |
C.P. Siddesh Ujjni, Pavan Chavan, Namratha M |
Abstract: |
Abstract
Face Recognition is a very challenging area and has a wide
range of applications in various fields such as video
surveillance systems, crime informatics, etc. Feature
extraction is the basic step in any face recognition system. It is
required because the number of inputs or size of input may be
too large and hence we extract only features of interest.
Texture based feature extraction is preferred due to it’s
invariance to pose, light, reflection. Beamlets and Brushlets
are used for feature extraction in Face Recognition. Beamlets
follow a hierarchical approach. Brushlets use Windowed
Fourier Transform to obtain local optimization. This local
approach provides better accuracy than global methods. They
are generally used in the field of image compression. Both
provide better recognition rate than the commonly used
wavelets.
Keywords: Beamlets, Beamlets dictionary, Beamlets
pyramid, Beamlets graph, Brushlets, Feature Extraction,
Fourier Transform, Wavelets |
Cite this article: |
C.P. Siddesh Ujjni, Pavan Chavan, Namratha M , "
Analysis of Wavelets, Brushlets and Beamlets for Feature Extraction in Face Recognition " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS),
Volume 4, Issue 1, January - February 2015 , pp.
104-107 , ISSN 2278-6856.
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