USE OF SUPER-RESOLUTION IN TEXT-DETECTION

Abstract

Text images are used to convey crucial information in a variety of applications, but it can be hard to recognise low-resolution text images. The majority of previous solutions use a cascaded technique to handle this issue in two steps: high-resolution text recognition and image super-resolution. It is quite difficult to recognise text from a poor-clarity image. The goal of super- resolution is to transform low-resolution images into high-resolution ones. The study examines, contrasts, and compares the technological difficulties, approaches, and efficacy of super-resolution in text detection. This research looks into the role of super-resolution in low-resolution picture text recognition.