2018
Augmented Data and Improved Noise Residual-Based CNN for Printer Source Identification
ICASSP 2018accepted
With the classification revolution driven by convolutional neural networks (CNN), plenty of suitable CNN architectures are readily available. However, a limiting aspect of CNN is their hunger for data. Training data can be scarce in many forensics applications, particularly for printer forensics whe…