In this paper we propose a novel probabilistic framework for document segmentation exploiting human perceptual recognition of text regions from complicated layouts. particular, conceptualize homogeneity as the Gestalt pattern displayed in regions, characterized by proximately and symmetrically arranged units with similar morphological texture features. We model local region connected component ...

Document images produced by scanner or digital camera, usually suffer from geometric and photometric distortions. Both of them deteriorate the performance of OCR systems. In this paper, we present a novel method to compensate for undesirable geometric distortions aiming to improve OCR results. Our methodology is based on finding text lines by dynamic local connectivity map and then applying a l...

This paper analyzes the problems of document image recognition and existing solutions. Document algorithms have been studied for quite a long time, but despite this, currently, topic is relevant research continues, as evidenced by large number associated publications reviews. However, most these works reviews are devoted to individual tasks. In this review, entire set methods, approaches, neces...