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US Patent 11593585 Object detection and image cropping using a multi-detector approach

Patent 11593585 was granted and assigned to Kofax on February, 2023 by the United States Patent and Trademark Office.

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TimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Kofax
Kofax
1
Current Assignee
Kofax
Kofax
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
115935851
Date of Patent
February 28, 2023
1
Patent Application Number
170066361
Date Filed
August 28, 2020
1
Patent Citations
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US Patent 11087407 Systems and methods for mobile image capture and processing
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US Patent 11302109 Range and/or polarity-based thresholding for improved data extraction
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US Patent 11481878 Content-based detection and three dimensional geometric reconstruction of objects in image and video data
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US Patent 11321772 Systems and methods for identification document processing and business workflow integration
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US Patent 10331966 Image processing to detect a rectangular object
1
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US Patent 10783613 Content-based detection and three dimensional geometric reconstruction of objects in image and video data
1
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US Patent 10783615 Content-based object detection, 3D reconstruction, and data extraction from digital images
1
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US Patent 11062163 Iterative recognition-guided thresholding and data extraction
1
...
Patent Citations Received
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US Patent 11983944 Object detection and image cropping using a multi-detector approach
7
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US Patent 11640721 Object detection and image cropping using a multi-detector approach
8
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US Patent 11694456 Object detection and image cropping using a multi-detector approach
9
Patent Primary Examiner
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Yosef Kassa
1
CPC Code
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G06K 9/6255
1
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G06T 7/55
1
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G06T 5/00
1

Computer-implemented methods for detecting objects within digital image data based on color transitions include: receiving or capturing a digital image depicting an object; sampling color information from a first plurality of pixels of the digital image, wherein each of the first plurality of pixels is located in a background region of the digital image; optionally sampling color information from a second plurality of pixels of the digital image, wherein each of the second plurality of pixels is located in a foreground region of the digital image; assigning each pixel a label of either foreground or background using an adaptive label learning process; binarizing the digital image based on the labels assigned to each pixel; detecting contour(s) within the binarized digital image; and defining edge(s) of the object based on the detected contour(s). Corresponding systems and computer program products configured to perform the inventive methods are also described.

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