In traversing the diverse field of biometric security and face recognition techniques, this investigation
explores a rather rare comparative study of three of the most popular Appearance-based Face
Recognition projection classes, these being the methodologies of Principal Component Analysis
(PCA), Linear Discriminant Analysis (LDA) and Independent Component Analysis (ICA). Both the
linear and kernel alternatives are investigated along with the four most widely accepted similarity
measures of City Block (L1), Euclidean (L2), Cosine and the Mahalanobis metrics. Although
comparisons between these classes can become fairly complex given the different task natures, the
algorithm architectures and the distance metrics that must be taken into account, an important aspect of
this study is the completely equal working conditions that are provided in order to facilitate fair and
proper comparative levels of evaluation. In doing so, one is able to realise an independent study that
significantly contributes to prior literary findings, either by verifying previous results, offering further
insight into why certain conclusions were made or by providing a better understanding as to why
certain claims should be disputed and under which conditions they may hold true. The experimental
procedure examines ten algorithms in the categories of expression, illumination, occlusion and
temporal delay; the results are then evaluated based on a sequential combination of assessment tools
that facilitate both intuitive and statistical decisiveness among the intra and inter-class comparisons. In
a bid to boost the overall efficiency and accuracy levels of the identification system, the ‘best’
categorical algorithms are then incorporated into a hybrid methodology, where the advantageous
effects of fusion strategies are considered. This investigation explores the weighted-sum approach,
which by fusion at a matching score level, effectively harnesses the complimentary strengths of the
component algorithms and in doing so highlights the improved performance levels that can be provided
by hybrid implementations. In the process, by firstly exploring previous literature with respect to each
other and secondly by relating the important findings of this paper to previous works one is also able to
meet the primary objective in providing an amateur with a very insightful understanding of publicly
available subspace techniques and their comparable application status within the environment of face
recognition.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/5906 |
| Date | 23 December 2008 |
| Creators | Surajpal, Dhiresh Ramchander |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | application/pdf, application/pdf, application/pdf |
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