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A Wavelet-Domain Local Dominant Feature Selection Scheme for Face Recognition
Joint Authors
Imtiaz, Hafiz
Fattah, Shaikh Anowarul
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-11
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Civil Engineering
Information Technology and Computer Science
Abstract EN
A multiresolution feature extraction algorithm for face recognition is proposed based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently exploits the local spatial variations in a face image.
For feature extraction, instead of considering the entire face image, an entropy-based local band selection criterion is developed, which selects high-informative horizontal segments from the face image.
In order to capture the local spatial variations within these bands precisely, the horizontal band is segmented into several small spatial modules.
The effect of modularization in terms of the entropy content of the face images has been investigated.
Dominant wavelet coefficients corresponding to each module residing inside those bands are selected as features.
A histogram-based threshold criterion is proposed to select dominant coefficients, which drastically reduces the feature dimension and provides high within-class compactness and high between-class separability.
The effect of using different mother wavelets for the purpose of feature extraction has been also investigated.
PCA is performed to further reduce the dimensionality of the feature space.
Extensive experimentation is carried out upon standard face databases, and a very high degree of recognition accuracy is achieved by the proposed method in comparison to those obtained by some of the existing methods.
American Psychological Association (APA)
Imtiaz, Hafiz& Fattah, Shaikh Anowarul. 2012. A Wavelet-Domain Local Dominant Feature Selection Scheme for Face Recognition. ISRN Machine Vision،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-512907
Modern Language Association (MLA)
Imtiaz, Hafiz& Fattah, Shaikh Anowarul. A Wavelet-Domain Local Dominant Feature Selection Scheme for Face Recognition. ISRN Machine Vision No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-512907
American Medical Association (AMA)
Imtiaz, Hafiz& Fattah, Shaikh Anowarul. A Wavelet-Domain Local Dominant Feature Selection Scheme for Face Recognition. ISRN Machine Vision. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-512907
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-512907