Invention Grant
- Patent Title: Image data extraction using neural networks
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Application No.: US16007877Application Date: 2018-06-13
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Publication No.: US10650230B2Publication Date: 2020-05-12
- Inventor: Reid Johnson
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Fountainhead Law Group P.C.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/52 ; G06N3/08 ; G06K9/62

Abstract:
Embodiments of the present disclosure pertain to extracting data from images using neural networks. In one embodiment, an image is fit to a predetermined bounding window. The image is then processed with a convolutional neural network to produce a three dimensional data cube. Slices of the cube are processed by an encoder RNN, and the results concatenated. The concatenated results are processed by an attention layer with input from a downstream decoder RNN. The attention layer output is provided to the decoder RNN to generate a probability array where values in the probability array correspond to particular characters in a character set. The maximum value is selected, and translated into an output character. In one embodiment, an amount may be extracted from an image of a receipt.
Public/Granted literature
- US20190384970A1 IMAGE DATA EXTRACTION USING NEURAL NETWORKS Public/Granted day:2019-12-19
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