ÐIn this paper, we give a formal definition of a document image structure representation and we formulate document image structure extraction as a partitioning problem: Finding an optimal solution partitioning the set of glyphs of an input document image into a hierarchical tree structure where entities within the hierarchy at each level have similar physical properties and compatable semantic ...

Document image binarization is a vital pre-processing technique for document image analysis that segments text from badly degraded document images. In this paper, we propose a robust document image binarization technique that is based on the concept of adaptive image contrast. The adaptive image contrast which is formed by combining local image contrast and the local image gradient makes it tol...

In this paper, an approach of principal component analysis (PCA) with local pixel grouping (LPG) is used to de-noising the noisy historical document image. This technique ensures the preservation of historic document image local structure. This is due to block matching based LPG which carries out classification to allow only the sample blocks with similar contents used in the calculation for PC...

Abstract Thresholding of a given image into binary image is a necessary step for most image analysis and recognition techniques. In document recognition application, success of OCR mostly depends on the quality of the thresholded image. Non-uniform illumination, low contrast and complex background make it challenging in this application. In this paper, selection of optimal parameters for Neural...

In this paper we discuss some applications of word image clustering (based on Self Organizing Maps, SOM) for tasks related to document image retrieval. Two main applications are discussed: document retrieval and word retrieval. In document retrieval a document representation based on the vector model is obtained by computing the occurrences of words belonging to the SOM clusters in each documen...

In document layout analysis, the defining conditions for textlines and text regions involve certain numerical parameters (e.g. inter-character spacing and inter-textline spacing) whose values can only be estimated when textlines and text regions have already been formed. This seemingly chicken-and-egg problem can be solved through an adaptive regrouping strategy, which consists of three operati...

The paper describes on-going work on a system that transforms page-oriented document images into “reflowable document images”, representations of the page image in HTML format that allows it to adapt to display devices of different sizes while preserving the original appearance of the image as much as possible and avoiding OCR errors. The approach to document layout analysis used by the system ...

.A rule-based system to make illfelences about ~CTU~VPUI images is int reduced. Given a digitized document ‘mage, the JVS tern controls the analysis of the document, and identifLes al! the diJerent printed regions in the document image. I,ogical “blocks” of info) mation on the document image are interpreted and classifLed by lhis system which then p?QduCeS as output a?[ cditablr descl ipticw 0-...

ÐWe propose a method for text retrieval from document images without the use of OCR. Documents are segmented into character objects. Image features, namely, the Vertical Traverse Density (VTD) and Horizontal Traverse Density (HTD), are extracted. An n-gram based document vector is constructed for each document based on these features. Text similarity between documents is then measured by calcul...

Text extraction and text line detection is the foundation of document image analysis. Since many years, a large number of text detection methods have been proposed, where these methods depend on convinced assumptions of documents with various font style, font size, distorted text, uneven lighting, complex background and low resolution. In this paper, reveals k-nearest neighbor rule as a generic...