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Federal government websites often end in. The site is secure. The goal of the sponsored research was to develop face recognition algorithms.

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The FERET evaluation methodology for face-recognition algorithms

Face Recognition pp Cite as. Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems. The development portion is provided to researchers for algorithm development and the sequestered portion provides a set of images not seen by the researchers to test algorithms. This test was administered in September and March

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Facial recognition technology (FERET).

When benchmarking an algorithm it is recommendable to use a standard test data set for researchers to be able to directly compare the results. While there are many databases in use currently, the choice of an appropriate database to be used should be made based on the task given aging, expressions, lighting etc. Another way is to choose the data set specific to the property to be tested e.

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