Invention Grant
- Patent Title: Compositional model for text recognition
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Application No.: US16245912Application Date: 2019-01-11
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Publication No.: US11037010B2Publication Date: 2021-06-15
- Inventor: John Richard Corring , Gang Hua , Wei Tang
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Main IPC: G06K9/03
- IPC: G06K9/03 ; G06K9/20 ; G06K9/32 ; G06K9/62 ; G06T5/00

Abstract:
Embodiments relate to a two-stage end-to-end text recognition system. The text recognition system includes a text detection stage and a text recognition stage. Images inputted to the text recognition system are provided to both the text detection stage and to the text recognition stage. The text detection stage detects text regions in the images and provides the detected regions to the text recognition stage. The text recognition stage is trained to perform geometric rectification on the text regions using the images. There is end-to-end alignment between the text detection stage and the text recognition stage. Additionally, the text detection stage and text recognition stage are each trained independent of the other.
Public/Granted literature
- US20200226400A1 COMPOSITIONAL MODEL FOR TEXT RECOGNITION Public/Granted day:2020-07-16
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