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A Curvelet Domain Face Recognition Scheme Based on Local Dominant Feature Extraction
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
2012-03-07
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
A feature extraction algorithm is introduced for face recognition, which efficiently exploits the local spatial variations in a face image utilizing curvelet transform.
Although multi-resolution ideas have been profusely employed for addressing face recognition problems, theoretical studies indicate that digital curvelet transform is an even better method due to its directional properties.
Instead of considering the entire face image, an entropy-based local band selection criterion is developed for feature extraction, which selects high-informative horizontal bands from the face image.
These bands are segmented into several small spatial modules to capture the local spatial variations precisely.
The effect of modularization in terms of the entropy content of the face images has been investigated.
Dominant curvelet transform coefficients corresponding to each local region residing inside the horizontal bands are selected, based on the proposed threshold criterion, as features, which not only drastically reduces the feature dimension but also provides high within-class compactness and high between-class separability.
A principal component analysis 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 even with a simple Euclidean distance based classifier.
American Psychological Association (APA)
Imtiaz, Hafiz& Fattah, Shaikh Anowarul. 2012. A Curvelet Domain Face Recognition Scheme Based on Local Dominant Feature Extraction. ISRN Signal Processing،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-468038
Modern Language Association (MLA)
Imtiaz, Hafiz& Fattah, Shaikh Anowarul. A Curvelet Domain Face Recognition Scheme Based on Local Dominant Feature Extraction. ISRN Signal Processing No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-468038
American Medical Association (AMA)
Imtiaz, Hafiz& Fattah, Shaikh Anowarul. A Curvelet Domain Face Recognition Scheme Based on Local Dominant Feature Extraction. ISRN Signal Processing. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-468038
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-468038