Graphical integrity issues in open access publications: Detection and patterns of proportional ink violations
Fig 8
Flowchart of our graphical integrity classification.
Refer to Fig 9 for comparison and Section 4.2 for method details of each step in our deep learning-based method. In our method, we apply compound figure classification, subfigure separation, text localization, text recognition, text role classification, and graphical integrity classification. To reproduce our method, see our code in https://github.com/sciosci/graph_check.