Invention Grant
- Patent Title: Automatic data extraction from a digital image
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Application No.: US16233379Application Date: 2018-12-27
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Publication No.: US10685462B2Publication Date: 2020-06-16
- Inventor: Konstantinos Bekas , Gabriel Cuendet , Maria Gabrani , Peter W. J. Staar
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Hoffmann & Baron, LLP
- Agent Daniel P. Morris, Esq.
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06T11/20 ; G06K9/00 ; G06K9/62 ; G06N7/00 ; G06N20/00 ; G06N5/04 ; G06N5/02

Abstract:
The invention relates to a computer-implemented method for automatically extracting data from a digital image comprising a graphical representation of quantitative data. The method comprises: Basic graphical objects are detected and structural primitives determined comprising grouping the basic graphical objects based on geometric relations. A semantic label is assigned to each of the structural primitives. A spatial data region of the graphical representation is determined using the semantic labels of the structural primitives. Quantitative data values are extracted which are represented by structural primitives within the data region which are assigned with first semantic labels identifying the respective structural primitives to represent quantitative data. The extracted quantitative data values are provided in units of pixels according to an image coordinate system. The extracted quantitative data values are transformed from the image coordinate system to a coordinate system of physical units of the quantitative data represented by the graphical representation.
Public/Granted literature
- US20190130614A1 AUTOMATIC DATA EXTRACTION FROM A DIGITAL IMAGE Public/Granted day:2019-05-02
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