Comparing Machine Learning Approaches for Table Recognition in Historical Register Books - Naver Labs Europe
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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.

NAVER LABS Europe
NAVER LABS Europe
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