نتایج جستجو برای: document image analysis

تعداد نتایج: 3209544  

Document images produced by scanners or digital cameras usually have photometric and geometric distortions. If either of these effects distorts document, recognition of words from such a document image using OCR is subject to errors. In this paper we propose a novel approach to significantly remove geometric distortion from document images. In this method first we extract document lines from do...

2016
Arya Mol

Metric rectification method is to restore an image from a single camera-captured document image. This method construct an isometric image mesh technique by exploiting the geometry of page surface and camera. It uses a general cylindrical surface (GCS) to model the curved page shape. It introduce a paraperspective projection to approximate the nonlinear perspective projection. A set of close-for...

2012
D. Shobana

This research is intended to develop a layout based retrieval system for document image databases consisting of three phases: 1. At first, intelligent layout analysis algorithm has been designed to extract the layouts the document images physically with their edges and rectangles. 2. Every physically identified layout has been converted into a tree intermediary representation for indexing and s...

2005
Eugen Barbu Pierre Héroux Sébastien Adam Éric Trupin

Document image classification is an important step in document image analysis. Based on classification results we can tackle other tasks such as indexation, understanding or navigation in document collections. Using a document representation and an unsupervized classification method, we can group documents that from the user point of view constitute valid clusters. The semantic gap between a do...

2006
P. Nagabhushan Sahana D. Gowda R. K. Bharathi

Document structure is the intermediary result obtained through page segmentation, which is used in the analysis of the document image. The structure serves the purpose of extracting the shape of the document from paragraph up to character level in a hierarchical exploratory methodology for understanding the layout structure of the document image. The extracted layout forms a dominant feature wh...

2013
Mohammed Javed P. Nagabhushan Bidyut Baran Chaudhuri

Document Image Analysis, like any Digital Image Analysis requires identification and extraction of proper features, which are generally extracted from uncompressed images, though in reality images are made available in compressed form for the reasons such as transmission and storage efficiency. However, this implies that the compressed image should be decompressed, which indents additional comp...

2014
Dalia Coppi Costantino Grana Rita Cucchiara

In this paper we propose an approach for Document Layout Analysis based on local correlation features. We identify and extract illustrations in digitized documents by learning the discriminative patterns of textual and pictorial regions. The proposal has been demonstrated to be effective on historical datasets and to outperform the state-of-the-art in presence of challenging documents with a la...

Journal: :international journal of society, culture and language 0
siti noor fazelah mohd noor universiti tun hussein onn malaysia, malaysia

this paper presents the first part of a larger study on the issue of graduate employability in malaysia as construed in public discourse in english, a language of power in malaysia. the term employability itself has many definitions depending on the requirements of government and industry, and in the case of malaysia, the english-language ability of graduates is inseparable from graduate employ...

1999
J. Liang I. T. Phillips

A document image analysis toolbox, including a collection of data structures and algorithms to suppbrt a variety of applications, is described in this paper. An experimental environment is built to allow developers to develop, test and optimize their algorithtis and systems. Appropriate and quantitative performance metrics for each kind of information a document analysis technique infers have b...

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