Document Dewarping

Document dewarping aims to computationally straighten and flatten images of documents captured from potentially distorted perspectives, improving readability and enabling more accurate optical character recognition (OCR). Recent research emphasizes developing robust models that handle incomplete or irregular document boundaries, leveraging techniques like grid-based methods, control point estimation, and Fourier transformations to achieve accurate geometric correction. These advancements are driven by the need for improved document digitization and analysis across various applications, including archival preservation, automated data entry, and accessibility for visually impaired individuals.