Patent ID: 11915465
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 6:
7. A processor-implemented method, comprising:
generating training data, via a processor, the training data including:
a first dataset including at least one of lineless formatted data or partially lined formatted data, and
a second dataset including formatted data with format lines, at least some of the format lines from the second dataset removed using a mask to generate the first dataset; and

training an artificial neural network (ANN) that includes a generative algorithm and a discriminative algorithm using the training data based on a local visual structure of the training data and a global visual structure of the training data, to produce a trained ANN configured to predict line placement for at least one of a lineless table or a partially lined table, the discriminative algorithm configured to authenticate table pairs from the first dataset and the second dataset based on a predicted table produced by the generative algorithm.