Database size effects on performance on a smart card face verification system

We study the effect of development set size on system performance, as measured by verification error. The study was performed using the FERET and FRGC2 databases to construct development training sets of varying size, while XM2VTS was used to test the system. Surprisingly, the achievable performance levels off relatively quickly. Increasing the size of the development set does not bring any benefit. On the contrary it may result in performance degradation. This finding appears to be development set independent. However, the choice of the development set size is protocol dependent

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