Preprocessing Techniques for High Quality Text Extraction from Text Images

Abstract

In this age of digitization, there is a growing need to preserve physical copies of documents such as historical text. It is important in digitization to capture every aspect of the document which is infeasible due to challenges such as fading, creases, and shadows. Various approaches have been put forth to improve upon text extraction by means of preprocessing. This paper analyses the effect of applying some general preprocessing methods such as Thresholding, Morphology, and Blurring and enhancements of quality in the output obtained. Experimental results show that preprocessing improves the visual and structural quality of the document to a certain extent.