Purchase Information Extraction Model From Scanned Invoice Document Image By Classification Of Invoice Table Header Texts
Hyun‐Kyung Shin · Journal of Digital Convergence · 2012
Development of automated document management system specified for scanned invoice images suffers from rigorous accuracy requirements for extraction of monetary data, which necessiate automatic validation on the extracted values for a generative invoice table model. Use of certain internal constraints such as amount = unit price times quantity is typical implementation. In this paper, we propose a noble invoice information extraction model with improved auto-validation method by utilizing table header detection and column classification.