Content directed enhancement of degraded document images
Sangeet Aggarwal, Sanjeev Kumar, Ritu Garg, Santanu Chaudhury · 2012
Most of the document pre-processing techniques are parameter dependent. In this paper, we present a novel framework that learns optimal parameters, depending on the nature of the document image content for binarization and text/graphics segmentation. The learning problem has been formulated as an optimization problem using EM algorithm to adaptively learn optimal parameters. Experimental results have established the effectiveness of our approach.