Invention Grant
- Patent Title: Systems and methods for document image analysis with cardinal graph convolutional networks
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Application No.: US17059482Application Date: 2020-06-11
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Publication No.: US11238277B2Publication Date: 2022-02-01
- Inventor: Rinon Gal , Roy Shilkrot , Amos Simantov
- 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
- International Application: PCT/IB2020/055478 WO 20200611
- International Announcement: WO2020/254924 WO 20201224
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46 ; G06K9/62

Abstract:
Systems and methods for processing documents based on a cardinal graph convolution network by generating cardinal graph representations representing words as single nodes with edges connected between neighbouring nodes in four cardinal directions. Features tensors are generated for nodes of the cardinal graph representation and the cardinal directions are encoded to generate an adjacency tensor having node neighbour indices. Entries of the adjacency tensor are transformed into a one-hot encoding of the node neighbour indices. Neighbourhood feature tensors are created over node indices and the features in each block may be scaled, convolved and reduced into new feature tensors.
Public/Granted literature
- US20210248367A1 SYSTEMS AND METHODS FOR DOCUMENT IMAGE ANALYSIS WITH CARDINAL GRAPH CONVOLUTIONAL NETWORKS Public/Granted day:2021-08-12
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