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AssigneeUshur, Inc.
InventorsYashu Seth, Ravil Kashyap, Shaik Kamran Moinuddin, Vijayendra Mysore Shamanna, Henry Thomas Peter, Simha Sadasiva
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The present disclosure relates to a system and method to extract information from unstructured image documents. The extraction technique is content-driven and not dependent on the layout of a particular image document type. The disclosed method breaks down an image document into smaller images using the text cluster detection algorithm. The smaller images are converted into text samples using optical character recognition (OCR). Each of the text samples is fed to a trained machine learning model. The model classifies each text sample into one of a plurality of pre-determined field types. The desired value extraction problem may be converted into a question-answering problem using a pre-trained model. A fixed question is formed on the basis of the classified field type. The output of the question-answering model may be passed through a rule-based post-processing step to obtain the final answer.
A computer-implemented method for recognizing relevant information from an unstructured image, comprising:
A system for recognizing relevant information from an unstructured image, where a computer processor performs the operations of:
Dependencies are inferred from the claim text.