Image enhancement transformer model for higher accuracy rates in character recognition

The advancements in image enhancement through deep learning techniques have significant implications for the Optical Character Recognition (OCR) industry. By producing cleaner and more readable images, the document image enhancement process facilitates OCR systems in their ability to accurately recognise and convert text from images into editable and searchable digital formats. These enhanced images reduce the noise and imperfections that OCR algorithms must contend with, ultimately leading to higher accuracy rates in character recognition.