- ISSN: 2287-4844 (Print), 2287-4852 (Online)
- Abbreviated Title: Prog. Intell. Comput. Appl.
- Frequency: Annually
- Editor-in-Chief: Dr. William Guo
- Executive Editor: Xian Zhang
- Published by: Australasian Professional Development and Academic Services (APDAS)(registered from Feb 2013)
- Indexed by: Google Scholar, Engineering & Technology Digital Library, Crossref, Proquest and DOAJ
- E-mail: pica@etpub.com
PICA 2014 Vol.3(1): 9-20 ISSN: 2287-4844 (Print); 2287-4852 (Online)
doi: 10.4156/pica.vol3.issue1.2
doi: 10.4156/pica.vol3.issue1.2
A Stochastic Technique for Face Detection System
1A.A. Ojugo, 1R. Abere., 1B.C. Orhionkpaiyo., 2M.O. Yerokun.,2A.O. Eboka and 2I.J.B. Iyawa
Abstract: Biometric-based authentication systems offers several advantages over other forms of authen-tication methods – that has made them more popular such that the field of data security has seen a significant surge over these past few years. It is important to note that though built and designed to withstand all forms of attacks, they can still be circumvented. Thus, this study provides a means to design cum develop such system to greater withstand frequent attacks so that they can be easily deployed and employed in security-critical applications such as unattended remote applications (e-commerce, online-banking etc). The system has various strengths and limitations as noted here, as the study particularly lays emphasis on facial recognition.
Keywords: stochastic, elitist, network, function, optimization, search space, solution, models
1 Department of Mathematics/Computer Sci, Federal University of Petroleum Resources Effurun ojugo_arnold@yahoo.com, arueben2001@yahoo.com, orhionkpaiyo@yahoo.com
2 Computer Science Department, Federal College of Education (Technical), Asaba, agapenexus@hotmail.co.uk, iyawaben@hotmail.com
Keywords: stochastic, elitist, network, function, optimization, search space, solution, models
1 Department of Mathematics/Computer Sci, Federal University of Petroleum Resources Effurun ojugo_arnold@yahoo.com, arueben2001@yahoo.com, orhionkpaiyo@yahoo.com
2 Computer Science Department, Federal College of Education (Technical), Asaba, agapenexus@hotmail.co.uk, iyawaben@hotmail.com
Cite: A.A. Ojugo, R. Abere., B.C. Orhionkpaiyo., M.O. Yerokun.,A.O. Eboka and I.J.B. Iyawa, "A Stochastic Technique for Face Detection System," Progress in Intelligent Computing and Applications , vol. 3, no. 1, pp. 9-20, March 2014.