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PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture
Joint Authors
Rujirakul, Kanokmon
Arnonkijpanich, Banchar
So-In, Chakchai
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-15
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Principal component analysis or PCA has been traditionally used as one of the feature extraction techniques in face recognition systems yielding high accuracy when requiring a small number of features.
However, the covariance matrix and eigenvalue decomposition stages cause high computational complexity, especially for a large database.
Thus, this research presents an alternative approach utilizing an Expectation-Maximization algorithm to reduce the determinant matrix manipulation resulting in the reduction of the stages’ complexity.
To improve the computational time, a novel parallel architecture was employed to utilize the benefits of parallelization of matrix computation during feature extraction and classification stages including parallel preprocessing, and their combinations, so-called a Parallel Expectation-Maximization PCA architecture.
Comparing to a traditional PCA and its derivatives, the results indicate lower complexity with an insignificant difference in recognition precision leading to high speed face recognition systems, that is, the speed-up over nine and three times over PCA and Parallel PCA.
American Psychological Association (APA)
Rujirakul, Kanokmon& So-In, Chakchai& Arnonkijpanich, Banchar. 2014. PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-1049728
Modern Language Association (MLA)
Rujirakul, Kanokmon…[et al.]. PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture. The Scientific World Journal No. 2014 (2014), pp.1-16.
https://search.emarefa.net/detail/BIM-1049728
American Medical Association (AMA)
Rujirakul, Kanokmon& So-In, Chakchai& Arnonkijpanich, Banchar. PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-16.
https://search.emarefa.net/detail/BIM-1049728
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049728