Face identification based bio-inspired algorithms
Joint Authors
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 1 (31 Jan. 2020), pp.118-127, 10 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-01-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Most biometric identification applications suffer from the curse of dimensionality as the database size becomes very large, which could negatively affect both the identification performance and speed.
In this paper, we use Projection Pursuit (PP) methods to determine clusters of individuals.
Support Vector Machine (SVM) classifiers are then applied on each cluster of users separately.
PP clustering is conducted using Friedman and Kurtosis projection indices optimized by Genetic Algorithm and Particle Swarm Optimization methods.
Experimental results obtained using YALE face database showed improvement in the performance and speed of face identification system.
American Psychological Association (APA)
Ghuzali, Sana& Larabi, Suad. 2020. Face identification based bio-inspired algorithms. The International Arab Journal of Information Technology،Vol. 17, no. 1, pp.118-127.
https://search.emarefa.net/detail/BIM-956458
Modern Language Association (MLA)
Ghuzali, Sana& Larabi, Suad. Face identification based bio-inspired algorithms. The International Arab Journal of Information Technology Vol. 17, no. 1 (Jan. 2020), pp.118-127.
https://search.emarefa.net/detail/BIM-956458
American Medical Association (AMA)
Ghuzali, Sana& Larabi, Suad. Face identification based bio-inspired algorithms. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 1, pp.118-127.
https://search.emarefa.net/detail/BIM-956458
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 125-127
Record ID
BIM-956458
