Improving Convolutional Neural Networks for Biometric Identification Using Complex Structure Tensor Features

Providing compact orientation features extracted using Complex Structure Tensor as input to Convolutional Neural Networks consistently improves identification accuracy compared to using grayscale inputs alone.