phase wise incremental learning

We address the security and privacy concerns of biometric templates generated via deep networks. We propose a cancelable biometric authentication approach. The framework consists of a lightweight Convolutional Neural Network (CNN) with few-shot enrollment for generating biometric templates. This is the first work in which deep cancelable templates are generated incrementally to the best of our knowledge.