Invention Grant
- Patent Title: Document classification neural network and OCR-to-barcode conversion
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Application No.: US17010632Application Date: 2020-09-02
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Publication No.: US11669704B2Publication Date: 2023-06-06
- Inventor: Oleg Y. Zakharov
- Applicant: KYOCERA Document Solutions, Inc.
- Applicant Address: JP Osaka
- Assignee: KYOCERA DOCUMENT SOLUTIONS INC.
- Current Assignee: KYOCERA DOCUMENT SOLUTIONS INC.
- Current Assignee Address: JP Osaka
- Agency: Rowan TELS LLC
- Main IPC: G06K7/14
- IPC: G06K7/14 ; G06K19/06 ; G06F40/166 ; G06N3/08 ; G06F16/953 ; G06V30/416 ; G06V30/10

Abstract:
Document classification techniques are disclosed that convert text content extracted from documents into graphical images and apply image classification techniques to the images. A graphical image of the text (such as a bar-code) may be generated and applied to improve the performance of document classification, bypassing NLP and utilizing more efficient localized OCR than in conventional approaches.
Public/Granted literature
- US20220067320A1 DOCUMENT CLASSIFICATION NEURAL NETWORK AND OCR-TO-BARCODE CONVERSION Public/Granted day:2022-03-03
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