THE IMAGE BINARIZATION PROBLEM REVISITED: PERSPECTIVES AND APPROACHES

Image document analysis is a complex process that involves several steps of processing. However, due to their sensitivity to errors, most of these are not applied on the original image; instead, they use a simplified black and white version of the original image, which offers a clear separation between foreground and background. Unfortunately, achieving the optimal separation is difficult to achieve, as no proposed algorithm has managed to offer a solution that is adequate for any type of input. This paper aims to present some of the more recent approaches in the field and compare their results with some of the classic algorithms.