![](/images/graphics-bg.png)
Discriminant Phase Component for Face Recognition
Author
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-13
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
Numerous face recognition techniques have been developed owing to the growing number of real-world applications.
Most of current algorithms for face recognition involve considerable amount of computations and hence they cannot be used on devices constrained with limited speed and memory.
In this paper, we propose a novel solution for efficient face recognition problem for systems that utilize small memory capacities and demand fast performance.
The new technique divides the face images into components and finds the discriminant phases of the Fourier transform of these components automatically using the sequential floating forward search method.
A thorough study and comprehensive experiments relating time consumption versus system performance are applied to benchmark face image databases.
Finally, the proposed technique is compared with other known methods and evaluated through the recognition rate and the computational time, where we achieve a recognition rate of 98.5% with computational time of 6.4 minutes for a database consisting of 2360 images.
American Psychological Association (APA)
Zaeri, Naser. 2012. Discriminant Phase Component for Face Recognition. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-493116
Modern Language Association (MLA)
Zaeri, Naser. Discriminant Phase Component for Face Recognition. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-493116
American Medical Association (AMA)
Zaeri, Naser. Discriminant Phase Component for Face Recognition. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-493116
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-493116