Invention Grant
- Patent Title: Document spatial layout feature extraction to simplify template classification
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Application No.: US16779462Application Date: 2020-01-31
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Publication No.: US11348353B2Publication Date: 2022-05-31
- Inventor: Michael Sundell , Vibhas Gejji
- Applicant: Automation Anywhere, Inc.
- Applicant Address: US CA San Jose
- Assignee: Automation Anywhere, Inc.
- Current Assignee: Automation Anywhere, Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06V30/414
- IPC: G06V30/414 ; G06F16/93 ; G06F17/16 ; G06K9/62 ; G06N3/08 ; G06V30/412

Abstract:
Image encoded documents are identified by recognizing known objects in each document with an object recognizer. The objects in each page are filtered to remove lower order objects. Known features in the objects are recognized by sequentially organizing each object in each filtered page into a one-dimensional array, where each object is positioned in a corresponding one-dimensional array as a function of location in the corresponding filtered page. The one-dimensional array is then compared to known arrays to classify the image document corresponding to the one-dimensional array.
Public/Granted literature
- US20210240975A1 DOCUMENT SPATIAL LAYOUT FEATURE EXTRACTION TO SIMPLIFY TEMPLATE CLASSIFICATION Public/Granted day:2021-08-05
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