in this paper a novel fuzzy scheme for medical x-ray image classification is presented. in this method, any image is partitioned in to 25 overlapping subimages and then shape-texture features are extracted from shape and directional information extracted from any subimage. in the classification stage, we apply a fuzzy membership to any subimage with respect to euclidean distance between feature...

The analysis of a document image to derive a symbolic description of its structure and contents involves using spatial domain knowledge to classify the different printed blocks (e.g., text paragraphs), group them into logical units (e.g., newspaper stories), and determine the reading order of the text blocks within each unit. These steps describe the conversion of the physical structure of a do...

Automatic identification of a script in a given document image facilitates many important applications such as automatic archiving of multilingual documents, searching online archives of document images and for the selection of script specific OCR in a multilingual environment. In this paper, we present a scheme to identify different Indian scripts from a document image. This scheme employs hie...

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an approach of principal component analysis (PCA) with local pixel grouping (LPG) is used to de-noising the noisy historical document image.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...

Determining the similarity of document images is an important first step for several document retrieval tasks, such as document classification, information extraction, and retrieval based on visual similarity. In this paper, we propose a method to describe and compare the content and layout of a document given only an image of the document. A tree structure is used to capture the hierarchical s...

This paper presents an eficient technique for document page layout structure extraction and classification by analyzing the spatial configuration of the bounding boxes of different entities on the given image. The algorithm segments an image into a list of homogeneous zones.The classification algorithm labels each zone as text, table, line-drawing, halftone, ruling, or noise. The text-lines and...

This paper presents a novel approach to defining document image structural similarity for the applications of classification and retrieval. We first build a codebook of SURF descriptors extracted from a set of representative training images. We then encode each document and model the spatial relationships between them by recursively partitioning the image and computing histograms of codewords i...

The structural layout information of scanned document pages is valuable for a wide range of document processing applications such as automatic document searching, document delivery and automated data entry. This paper describes the classification of scanned document pages into different classes of physical layout structures. The page layout classification technique proposed in this paper uses a...