- Title
- DRUBIS : a distributed face-identification experimentation framework - design, implementation and performance issues
- Creator
- Ndlangisa, Mboneli
- ThesisAdvisor
- Wentworth, E. P.
- Subject
- Principal components analysis
- Subject
- Human face recognition (Computer science)
- Subject
- Image processing
- Subject
- Biometric identification
- Date
- 2004
- Type
- Thesis
- Type
- Masters
- Type
- MSc
- Identifier
- vital:4704
- Identifier
- http://hdl.handle.net/10962/d1015768
- Description
- 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.
- Format
- 177 p., pdf
- Publisher
- Rhodes University, Faculty of Science, Computer Science
- Language
- English
- Rights
- Ndlangisa, Mboneli
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