Deep verification learning
Fieke Hillerström, Raymond N. J. Veldhuis, Luuk Spreeuwers · University of Twente Research Information · 2016
Deep learning for biometrics has increasingly gained attention over the last years. The expansion of computational power and the increasing dataset sizes, increased verification performances. However, large datasets are not available for every ap- plication. We introduce Deep Verification Learning, to reduce network complex- ity and train on smaller datasets. Deep Verification Learning takes two images to be verified at the input of a network, and trains directly towards a verification score. We applied Deep Verification Learning on the face verification task, also it could be extended to other biometric modalities.