公开(公告)号：GB2605052A

公开(公告)日：2022-09-21

申请号：GB202207244

申请日：2020-10-20

Applicant: IBM

Inventor： PETER ZHONG ,  YEPES ANTONIO JOSE JIMENO ,  ELAHEH SHAFIEBAVANI

IPC: G06K9/00

Abstract: A computer-implemented method for using a machine learning model(122) to automatically extract tabular data from an image includes receiving a set of images of tabular data and a set of markup data corresponding respectively to the images of tabular data. The method further includes training a first neural network to delineate the tabular data into cells(440) using the markup data, and training a second neural network to determine content of the cells(440)in the tabular data using the markup data. The method further includes, upon receiving an input image(112) containing a first tabular data without any markup data, generating an electronic output corresponding to the first tabular data by determining the structure of the first tabular data using the first neural network and extracting content of the first tabular using the second neural network.