Combining Deep Learning and (Structural) Feature-Based Classification Methods for Copyright-Protected PDF Documents

Abstract

This document describes the implementation of a copyright classification process for user-contributed Portable Document Format (PDF) documents. The implementation employs two ways to classify documents as copyright-protected or non-copyright-protected: first, using structural features extracted from the document metadata, content and underlying document structure; and second, by turning the documents into images and using their pixels to generate features for semi-supervised deep convolutional networks. © 2019, Springer Nature Switzerland AG.