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US Patent 12020152 Neural network-based optical character recognition

Patent 12020152 was granted and assigned to Vannevar Labs on June, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Vannevar Labs
Vannevar Labs
1
Current Assignee
Vannevar Labs
Vannevar Labs
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
120201521
Patent Inventor Names
Nathaniel Honka1
Daniel Goodman1
Brett Granberg1
Nathanial Hartman1
Eleony Moorhead1
Date of Patent
June 25, 2024
1
Patent Application Number
173978111
Date Filed
August 9, 2021
1
Patent Citations
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US Patent 10423852 Text image processing using word spacing equalization for ICR system employing artificial neural network
1
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US Patent 10445569 Combination of heterogeneous recognizer for image-based character recognition
1
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US Patent 10713794 Method and system for using machine-learning for object instance segmentation
1
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US Patent 10936902 Training bounding box selection
1
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US Patent 11527072 Systems and methods for detecting waste receptacles using convolutional neural networks
1
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US Patent 11010907 Bounding box selection
1
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US Patent 9292739 Automated recognition of text utilizing multiple images
1
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US Patent 9576196 Leveraging image context for improved glyph classification
1
...
Patent Primary Examiner
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Xuemei G Chen
1
CPC Code
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G06V 30/15
1
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G06V 30/158
1
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G06V 30/18057
1
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G06K 9/6256
1
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G06K 9/6269
1
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G06N 3/0445
1
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G06N 3/08
1
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G06N 3/0454
1
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Patent abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for neural network-based optical character recognition. An embodiment of the system may generate a set of bounding boxes based on reshaped image portions that correspond to image data of a source image. The system may merge any intersecting bounding boxes into a merged bounding box to generate a set of merged bounding boxes indicative of image data portions that likely portray one or more words. Each merged bounding box may be fed by the system into a neural network to identify one or more words of the source image represented in the respective merged bounding box. The one or more identified words may be displayed by the system according to a standardized font and a confidence score.

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