University Links: Home Page | Site Map
Covenant University Repository

Design of a Face Recognition System for Security Control

Azeta, A. A. and Omoregbe, N. A. and Adewumi, A. O. and Oguntade, Dolapo (2015) Design of a Face Recognition System for Security Control. In: 2nd Covenant University Conference on African Development Issues (CU-ICADI), 11th - 13th May, 2015, Africa Leadership Development Center, Covenant University, Ota, Nigeria..

[img] PDF
Download (2081Kb)

Abstract

Although the recognition of human beings is something quite easy for humans, the ability for machines to recognise people is still a challenging problem; hence it has been receiving significant attention in recent years. Face recognition is one of those challenging issues. Given the fact that human recognition of faces is critical for humans in their everyday life, automating the process of facial recognition is very useful in a wide range of applications ranging from human-machine interfaces and automatic access control systems used for security and criminal identification. To the best of our knowledge, there is no form of facial recognition for identifying criminals in the Nigerian Police Force. The method of criminal record keeping in the country is still manual. Citizens go through manual filling of forms and writing of statements. This is slow and inefficient and sometimes lead to breach of protocols in some crime cases particularly by an insider, or even someone from the outside. The objective of this paper is to design a face recognition system for security control in Nigeria. When fully implemented, we believe the system will go a long way in assisting the security personnel in performing a productive and efficient delivery of better services to citizens. The system will also help in the keeping of criminal records and crime cases by detecting the faces of the perpetrators and masterminds of such crimes, thereby ensuring they are caught and dealt with according to the laws of the country.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Biometrics, Crime, Face, Recognition and Security
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 26 Jun 2015 20:06
Last Modified: 26 Jun 2015 20:06
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/5348

Actions (login required)

View Item View Item