Design and validation of a face recognition framework

We have developed a framework that standardizes research in the field of face recognition. The framework endorses the use of interchangeable modules that can be developed and tested independently during subsequent researches. At the same time it does not impose heavy restrictions on the implementation of these modules so that future studies are not impeded in any way. Using this framework, we have implemented and tested a score-level algorithm fusion recognizer. Results show that the perfomance of a recognizer can be improved by using fusion even if the base classifiers are not very accurate.