OPTICAL CHARACTER RECOGNITION ERROR CORRECTION BASED ON VISUAL AND TEXTUAL CONTENTS

Described herein, system that facilitates OCR error correction based on visual and textual contents. According to an embodiment, a system can comprise splitting a scanned content into blocks using a neural network and tags the blocks as textual content and image content. The system can further compr...

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Bibliographic Details
Main Authors Abedini, Mani, Deshmukh, Dinakar, Najafzadeh, Haleh
Format Patent
LanguageEnglish
Published 15.10.2020
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Described herein, system that facilitates OCR error correction based on visual and textual contents. According to an embodiment, a system can comprise splitting a scanned content into blocks using a neural network and tags the blocks as textual content and image content. The system can further comprise converting, the textual content to a word feature vector. The system can further comprise converting the image content to an image feature vector.
Bibliography:Application Number: US201916383971