Invention Grant
- Patent Title: Form structure extraction network
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Application No.: US15674100Application Date: 2017-08-10
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Publication No.: US10268883B2Publication Date: 2019-04-23
- Inventor: Mausoom Sarkar , Balaji Krishnamurthy
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Finch & Maloney PLLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06K9/64 ; G06K9/72 ; G06T3/40 ; G06T7/11 ; G06T7/143

Abstract:
A method and system for detecting and extracting accurate and precise structure in documents. A high-resolution image of documents is segmented into a set of tiles. Each tile is processed by a convolutional network and subsequently by a set of recurrent networks for each row and column. A global-lookup process is disclosed that allows “future” information required for accurate assessment by the recurrent neural networks to be considered. Utilization of high-resolution image allows for precise and accurate feature extraction while segmentation into tiles facilitates the tractable processing of the high-resolution image within reasonable computational resource bounds.
Public/Granted literature
- US20190050640A1 FORM STRUCTURE EXTRACTION NETWORK Public/Granted day:2019-02-14
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