- 专利标题: Systems and methods for neuronal visual-linguistic data retrieval from an imaged document
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申请号: US17134597申请日: 2020-12-28
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公开(公告)号: US11676411B2公开(公告)日: 2023-06-13
- 发明人: Amos Simantov , Roy Shilkrot , Nimrod Morag , Rinon Gal
- 申请人: WAY2VAT LTD.
- 申请人地址: IL Tel-Aviv
- 专利权人: WAY2VAT LTD.
- 当前专利权人: WAY2VAT LTD.
- 当前专利权人地址: IL Tel-Aviv
- 代理机构: Alphapatent Associates, Ltd
- 代理商 Daniel J. Swirsky
- 主分类号: G06K9/62
- IPC分类号: G06K9/62 ; G06V30/412 ; G06N20/00 ; G06N3/08 ; G06Q30/04
摘要:
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.
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