Using artificial immunity network for face verification
Joint Authors
Sadiqi, Mahdi
Maghuli, Keivan
Muin, Muhammad Shahram
Source
The International Arab Journal of Information Technology
Issue
Vol. 11, Issue 5 (30 Sep. 2014)8 p.
Publisher
Publication Date
2014-09-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Biometrical systems are of the most interesting research subject matters in the last years.
Face biometrics is noteworthy one because ofits simple accessibility, easy usage and the ability of better acceptance by persons.
The process of facial recognition includes these phases : pre-processing of images, extracting important properties of the face, and finally, the classification of these properties.
There are many researches carried out in this area, each of which employed different methods for mentioned phases.
According to the previous applications of the methods which have been done by artificial immune network, and to its relatively good results in optimization problems, machine learning, pattern recognition, data search, data clustering and so on, in this research facial verification through classification by aiNET (Artificial Immune Network) has been surveyed.
In this article, databank Yale has been used and the statistical properties such as maximum, minimum, variance and energy of wavelet coefficients in different compositions have been examined.
In order to validation, we have used the Cross Validation method that its best results in the case of using the Ten-Fold or Leave One Out method, were FAR = 2.1 %, FRR = 0.9 %, andEER = 1.8 %.
American Psychological Association (APA)
Sadiqi, Mahdi& Maghuli, Keivan& Muin, Muhammad Shahram. 2014. Using artificial immunity network for face verification. The International Arab Journal of Information Technology،Vol. 11, no. 5.
https://search.emarefa.net/detail/BIM-360301
Modern Language Association (MLA)
Sadiqi, Mahdi…[et al.]. Using artificial immunity network for face verification. The International Arab Journal of Information Technology Vol. 11, no. 5 (Sep. 2014).
https://search.emarefa.net/detail/BIM-360301
American Medical Association (AMA)
Sadiqi, Mahdi& Maghuli, Keivan& Muin, Muhammad Shahram. Using artificial immunity network for face verification. The International Arab Journal of Information Technology. 2014. Vol. 11, no. 5.
https://search.emarefa.net/detail/BIM-360301
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-360301