This paper proposes a multi-class document layout classification/recognition system using a method called random chopping. A scanned document image undergoes text line extraction and is represented as a set of quadrilaterals for every pair of text lines. For compact representation, a dictionary of quadrilateral clusters is built beforehand, and a document image is then represented as a word occ...

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...

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 ...

In this paper we document the techniques which we used to participate in the PASCAL NoE VOC Challenge 2007 image analysis performance evaluation campaign. We took part in three of the image analysis competitions: image classification, object detection and object segmentation. In the classification task of the evaluation our method produced comparatively good performance, the 4th best of 19 subm...

Increased advancement in a variety of study subjects and information technologies, has increased the number published research articles. However, researchers are facing difficulties devote significant time amount locating scientific publications relevant to their domain expertise. In this article, an approach document classification is presented cluster text documents articles into expressive g...

We propose a new approach to automate document image layout extraction for an object-oriented database feature population using rapid low level feature analysis, preclassification and predictive coding. The layout information comprised of region location and classification data is transformed into ‘feature object(s)’. The information is then fed into an intelligent document image retrieval syst...