DRUBIS : a distributed face-identification experimentation framework - design, implementation and performance issues

Ndlangisa, Mboneli (2004) DRUBIS : a distributed face-identification experimentation framework - design, implementation and performance issues. Masters thesis, Rhodes University.

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Abstract

We report on the design, implementation and performance issues of the DRUBIS (Distributed Rhodes University Biometric Identification System) experimentation framework. The Principal Component Analysis (PCA) face-recognition approach is used as a case study. DRUBIS is a flexible experimentation framework, distributed over a number of modules that are easily pluggable and swappable, allowing for the easy construction of prototype systems. Web services are the logical means of distributing DRUBIS components and a number of prototype applications have been implemented from this framework. Different popular PCA face-recognition related experiments were used to evaluate our experimentation framework. We extract recognition performance measures from these experiments. In particular, we use the framework for a more indepth study of the suitability of the DFFS (Difference From Face Space) metric as a means for image classification in the area of race and gender determination.

Item Type:Thesis (Masters)
Uncontrolled Keywords:Principal components analysis, Human face recognition, Image processing, Biometric identification
Subjects:Y Unknown > Subjects to be assigned
Divisions:Faculty > Faculty of Science > Computer Science
ID Code:93
Deposited By: Rhodes Library Archive Administrator
Deposited On:21 Oct 2005
Last Modified:06 Jan 2012 16:17
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