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US Patent 11600091 Performing electronic document segmentation using deep neural networks

Patent 11600091 was granted and assigned to Adobe Inc. on March, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent

Patent attributes

Patent Applicant
Adobe Inc.
Adobe Inc.
Current Assignee
Adobe Inc.
Adobe Inc.
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11600091
Date of Patent
March 7, 2023
Patent Application Number
17327382
Date Filed
May 21, 2021
Patent Citations
‌
US Patent 10395772 Mobile supplementation, extraction, and analysis of health records
‌
US Patent 10671892 Apparatuses, methods, and systems for 3-channel dynamic contextual script recognition using neural network image analytics and 4-tuple machine learning with enhanced templates and context data
‌
US Patent 10915788 Optical character recognition using end-to-end deep learning
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US Patent 10936863 Systems and methods for neuronal visual-linguistic data retrieval from an imaged document
Patent Primary Examiner
‌
Ali Bayat
CPC Code
‌
G06V 30/416
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G06V 10/26
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G06V 10/764
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G06V 10/82
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G06K 9/6256
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G06K 9/627
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G06N 3/08
‌
G06N 3/0481
...

Techniques for document segmentation. In an example, a document processing application segments an electronic document image into strips. A first strip overlaps a second strip. The application generates a first mask indicating one or more elements and element types in the first strip by applying a predictive model network to image content in the first strip and a prior mask generated from image content of the first strip. The application generates a second mask indicating one or more elements and element types in the second strip by applying the predictive model network to image content in the second strip and the first mask. The application computes, from a combined mask derived from the first mask and the second mask, an output electronic document that identifies elements in the electronic document and the respective element types.

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