Patent ID: 11893777
Assignee: OPEN TEXT HOLDINGS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 8:
9. A method, comprising: receiving or obtaining, by an image recognition system executing on a processor, a plurality of document components representing one or more feature types, wherein each of the plurality of document components corresponds to a piece of information; selecting, by the image recognition system, one or more subsets of the plurality of document components; for each of the subsets of the plurality of document components thus selected, performing, by the image recognition system: dynamically generating, from the subset of document components, one or more simulated images of a simulated document; providing the one or more simulated document images and pieces of information corresponding to the document components of the subset as input to a convolutional neural network; and training the convolutional neural network to recognize the feature types using the pieces of information corresponding to the document components of the subset as expected outputs of processing the one or more simulated document images dynamically generated from the simulated document which is dynamically generated from the subset of document components.