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US Patent 11804056 Document spatial layout feature extraction to simplify template classification

Patent 11804056 was granted and assigned to Automation Anywhere on October, 2023 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Automation Anywhere
Automation Anywhere
Current Assignee
Automation Anywhere
Automation Anywhere
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11804056
Patent Inventor Names
Vibhas Gejji
Michael Sundell
Date of Patent
October 31, 2023
Patent Application Number
17828012
Date Filed
May 30, 2022
Patent Citations
‌
US Patent 7398469 Automated test system for testing an application running in a windows-based environment and related methods
‌
US Patent 7441007 System and method for allowing applications to retrieve properties and configuration information from a persistent store
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US Patent 7533096 Computer-based method for finding similar objects using a taxonomy
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US Patent 7568109 System for software source code comparison
‌
US Patent 7571427 Methods for comparing versions of a program
‌
US Patent 7765525 Operations manager infrastructure for dynamically updating software operational policy
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US Patent 7805317 Method of organizing map data for affinity relationships and application for use thereof
‌
US Patent 6898764 Method, system and program product for determining differences between an existing graphical user interface (GUI) mapping file and a current GUI
...
Patent Primary Examiner
‌
Daniel G Mariam
CPC Code
‌
G06F 16/93
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G06V 30/412
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G06V 30/414
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G06N 3/08
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G06K 9/6267
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G06F 17/16
Patent 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.

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