Invention Grant
- Patent Title: Generating structured representations of forms using machine learning
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Application No.: US16569297Application Date: 2019-09-12
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Publication No.: US11048933B2Publication Date: 2021-06-29
- Inventor: Anu Singh , Saikat Mukherjee , Mritunjay Kumar , Karpaga Ganesh Patchirajan
- Applicant: Intuit Inc.
- Applicant Address: US CA Mountain View
- Assignee: Intuit Inc.
- Current Assignee: Intuit Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Ferguson Braswell Fraser Kubasta PC
- Priority: IN201921030867 20190731
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06N20/00

Abstract:
A method may include acquiring, from a document, document elements and attributes describing the document elements. One or more of the attributes may be geometric attributes describing a placement of the corresponding document element within the document. The method may further include deriving features for the document elements using the attributes, detecting form components using the features, clustering the form components into line objects of a structured representation by applying an unsupervised machine learning model to the geometric attributes of the document elements, and populating a compliance form using the structured representation.
Public/Granted literature
- US20210034858A1 GENERATING STRUCTURED REPRESENTATIONS OF FORMS USING MACHINE LEARNING Public/Granted day:2021-02-04
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