Deep learning for printed document source identification
Deep learning for printed document source identification is a scholarly work, published in 2019 in ''Signal Processing-Image Communication''. The main subjects of the publication include information retrieval, counterfeiting, convolutional neural network, deep learning, Internet, artificial intelligence, feature extraction, identification, digital forensics, feature, task, support vector machine, feature, digital watermark, machine learning, feature selection, and computer science.