General Electric Company
OPTICAL CHARACTER RECOGNITION ERROR CORRECTION BASED ON VISUAL AND TEXTUAL CONTENTS

Abstract:

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.