Improving face authentication using virtual samples

Abstract

In this paper, we present a simple yet effective way to improve a face verification system by generating multiple virtual samples from the unique image corresponding to an access request. These images are generated using simple geometric transformations. This method is often used during training to improve accuracy of a neural network model by making it… (More)
DOI: 10.1109/ICASSP.2003.1199150

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