Mohamed Din, Aniza and Ahmad, Faudziah and Mohamad Mohsin, Mohamad Farhan and Ku-Mahamud, Ku Ruhana and Theab, Mustafa Muwafak (2011) Face recognition for remote database backup system. In: 6th International Conference on Computer Sciences and Convergence Information Technology (ICCIT), Nov. 29 2011-Dec. 1 2011, Seogwipo.

PDF Restricted to Registered users only Download (207kB)

Abstract

Face recognition is one of the most interesting applications in the image processing field.To build a model to recognize the face of different people, we need to do several processes on the image to obtain the most efficient features.In this research a face recognition model is developed.The dataset used is of different face images. Neural Networks technique, specifically Multilayer Perceptron (MLP) model with Back-Propagation learning algorithm and Template Matching approach are implemented in model developed.The face recognition model developed is then applied on a remote database backup system.Template matching approach is found to give a higher percentage of matching accuracy and a faster result can be obtained compared to MLP as no learning process is required

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Print ISBN: 978-1-4577-0472-7
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Mrs. Aniza Mohamed Din
Date Deposited:	26 Feb 2014 09:09
Last Modified:	26 Feb 2014 09:09
URI:	https://repo.uum.edu.my/id/eprint/9499

Actions (login required)

View Item