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Face recognition for remote database backup system

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.

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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

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