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US Patent 10242285 Iterative recognition-guided thresholding and data extraction

Patent 10242285 was granted and assigned to Kofax on March, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Kofax
Kofax
0
Current Assignee
Kofax
Kofax
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
102422850
Patent Inventor Names
Stephen Michael Thompson0
Anthony Macciola0
Christopher W. Thrasher0
Jan W. Amtrup0
Alexander Shustorovich0
Date of Patent
March 26, 2019
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Patent Application Number
152143510
Date Filed
July 19, 2016
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Patent Citations
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US Patent 10108860 Systems and methods for generating composite images of long documents using mobile video data
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US Patent 10127636 Content-based detection and three dimensional geometric reconstruction of objects in image and video data
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US Patent 10127441 Systems and methods for classifying objects in digital images captured using mobile devices
Patent Citations Received
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US Patent 11481689 Platforms for developing data models with machine learning model
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US Patent 10635712 Systems and methods for mobile image capture and processing
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US Patent 10657600 Systems and methods for mobile image capture and processing
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US Patent 10671847 Service implementing a work flow based on image analysis
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US Patent 10699146 Mobile document detection and orientation based on reference object characteristics
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US Patent 10776970 Method and apparatus for processing video image and computer readable medium
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US Patent 10783613 Content-based detection and three dimensional geometric reconstruction of objects in image and video data
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US Patent 10803350 Object detection and image cropping using a multi-detector approach
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Patent Primary Examiner
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Jingge Wu
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Patent abstract

Techniques for improved binarization and extraction of information from digital image data are disclosed in accordance with various embodiments. The inventive concepts include independently binarizing portions of the image data on the basis of individual features, e.g. per connected component, and using multiple different binarization thresholds to obtain the best possible binarization result for each portion of the image data independently binarized. Determining the quality of each binarization result may be based on attempted recognition and/or extraction of information therefrom. Independently binarized portions may be assembled into a contiguous result. In one embodiment, a method includes: identifying a region of interest within a digital image; generating a plurality of binarized images based on the region of interest using different binarization thresholds; and extracting data from some or all of the plurality of binarized images. Corresponding systems and computer program products are also disclosed.

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