Face Recognition Approach using an Enhanced Particle Swarm Optimization and Support Vector Machine
Face recognition is one of the most promising research area in the last decades. The SVM approach is one of the famous approaches in machine learning fields because it can determine the global optimum solutions with lesser number of training samples especially, complex non-linear challenges such as...
Main Authors: | Saad, Wasan Kadhim, Jabbar, Waheb A., Abbas, Ahmed Abdul Rudah |
---|---|
Format: | Article |
Language: | English |
Published: |
Medwell Journals
2019
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/25612/ http://umpir.ump.edu.my/id/eprint/25612/ http://umpir.ump.edu.my/id/eprint/25612/ http://umpir.ump.edu.my/id/eprint/25612/1/Face%20Recognition%20Approach%20using%20an%20Enhanced%20Particle.pdf |
Similar Items
-
Face recognition using eigenfaces and smooth support vector machine
by: Mhd, Furqan
Published: (2011) -
Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization
by: Mohd Zaidi, Mohd Tumari, et al.
Published: (2013) -
Iris recognition system by using support vector machines
by: Ali, Hasimah, et al.
Published: (2008) -
Iris recognition system using support vector machines
by: Ali, Hasimah, et al.
Published: (2011) -
Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms
by: Azrag, M. A. K., et al.
Published: (2019)