Comparing Machine Learning Approaches for Table Recognition in Historical Register Books
Hervé Déjean, Stéphane Clinchant, Jean-Luc Meunier, Eva Maria Lang, Florian Kleber
13th IAPR International Workshop on Document Analysis Systems, Vienna, Austria, 24 - 27 April 2018
We present in this paper experiments on Table Recognition in Handwritten register books. We first explain how the problem of row and column detection is modelled, and then compare two Machine Learning approaches (Conditional Random Field and Graph Convolutional Network) for detecting these table elements. Evaluation was conducted on death records provided by the Archive of the Diocese of Passau. Both methods show similar results. Software and dataset are open source/date.