Title :
A Novel Evolutionary Face Recognition Algorithm Using Particle Swarm Optimization
Author :
Osslan Osiris Vergara Villegas;Mitzel Aviles Quintero;Vianey Guadalupe Cruz Sanchez;Humberto de Jesus Ochoa Dominguez
Author_Institution :
Ind. &
Abstract :
In this paper a novel algorithm to solve the problem of automatic face recognition is presented. The novelty of the algorithm is the ability to combine the computer vision tasks with Particle Swarm Optimization (PSO) to improve the execution time and to obtain better recognition results. The crucial stage of a typical system of face recognition is improved by using a fitness function to measure the similarity of an input face compared with a database of faces. The use of the fitness function helps to obtain more accurate results in a faster way. The results obtained are excellent even when the system was tested in uncontrolled environments. A comparison of the results obtained with the algorithm without PSO versus the algorithm using PSO is also presented.
Keywords :
"Face recognition","Face","Computer vision","Algorithm design and analysis","Image recognition","Training","Particle swarm optimization"
Conference_Titel :
Signal-Image Technology & Internet-Based Systems (SITIS), 2009 Fifth International Conference on
Print_ISBN :
978-1-4244-5740-3
DOI :
10.1109/SITIS.2009.17