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US Patent 10896357 Automatic key/value pair extraction from document images using deep learning

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Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
108963571
Patent Inventor Names
Thomas Corcoran1
Abhijit Kakhandiki1
Bruno Selva1
Derek S Chan1
Nishit Kumar1
Date of Patent
January 19, 2021
1
Patent Application Number
158589761
Date Filed
December 29, 2017
1
Patent Citations Received
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US Patent 11881042 Semantic template matching
2
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US Patent 11630956 Extracting data from documents using multiple deep learning models
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US Patent 11288719 Identifying key-value pairs in documents
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US Patent 11790215 Systems and methods for object detection and data extraction using neural networks
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US Patent 11495011 Template-based key-value extraction for inferring OCR key values within form images
Patent Primary Examiner
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Jiangeng Sun
1
Patent abstract

Key/Value pairs, each comprising a keyword string and an associated value, are extracted automatically from a document image. Each document image has a plurality of pixels with each pixel having a plurality of bits. A first subset of the plurality of bits for each pixel represents information corresponding to the document image. The document image is processed to add information to a second subset of the plurality of bits for each pixel. The information added to the second subset alters the appearance of the document image in a manner that facilitates semantic recognition of textually encoded segments within the document image by a Deep Neural Network (DNN) trained to recognize images within image documents. The DNN detects groupings of text segments within detected spatial templates within the document image. The text segments are mapped to known string values to generate the keyword strings and associated values.

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