Invention Grant
- Patent Title: Systems and methods for neuronal visual-linguistic data retrieval from an imaged document
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Application No.: US17134597Application Date: 2020-12-28
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Publication No.: US11676411B2Publication Date: 2023-06-13
- Inventor: Amos Simantov , Roy Shilkrot , Nimrod Morag , Rinon Gal
- Applicant: WAY2VAT LTD.
- Applicant Address: IL Tel-Aviv
- Assignee: WAY2VAT LTD.
- Current Assignee: WAY2VAT LTD.
- Current Assignee Address: IL Tel-Aviv
- Agency: Alphapatent Associates, Ltd
- Agent Daniel J. Swirsky
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06V30/412 ; G06N20/00 ; G06N3/08 ; G06Q30/04

Abstract:
Systems and methods for automatic information retrieval from imaged documents. Deep network architectures retrieve information from imaged documents using a neuronal visual-linguistic mechanism including a geometrically trained neuronal network. An expense management platform uses the neuronal visual-linguistic mechanism to determine geometric-semantic information of the imaged document.
Public/Granted literature
- US20210117665A1 SYSTEMS AND METHODS FOR NEURONAL VISUAL-LINGUISTIC DATA RETRIEVAL FROM AN IMAGED DOCUMENT Public/Granted day:2021-04-22
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