Results 261 to 270 of about 154,547 (310)

Script Identification of Document Image Analysis

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 2006
Script identification prior to OCR is necessary in document image analysis. And each script has unique spatial distribution and visual attribute that make it possible to identify itself from other languages. The key technology of script identification algorithm is to abstract effective measure feature.
Juan Cheng, Xijian Ping, Guanwei Zhou, Yang Yang   +3 more
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Document image analysis for active reading

Proceedings of the 2007 international workshop on Semantically aware document processing and indexing, 2007
A huge number of documents that were only available in libraries are now on the web. The web access is a solution to protect the cultural heritage and to facilitate knowledge transmission. Most of these documents are displayed as images of the original paper pages and are indexed by hand.
Claudie Faure, Nicole Vincent
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Features for printed document image analysis

Object recognition supported by user interaction for service robots, 2003
This paper presents features for text/non-text area separation in printed document images. First, it introduces entropic discrimination, i.e., a simple separation using only one feature. Then, a brief recall on existing texture and geometric discriminant parameters proposed in previous research (2001, 2002) is included.
Jean Duong, Hubert Emptoz, Myriam Côté
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Image based typographic analysis of documents

Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93), 2002
An approach to image based typographic analysis of documents is provided. The problem requires a spatial understanding of the document layout as well as knowledge of the proper syntax. The system performs a page synthesis from the stream of formatting commands defined in a DVI file.
David S. Doermann, Richard Furuta
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Handwritten document image segmentation and analysis

Pattern Recognition Letters, 1993
Abstract The paper proposes automatic segmentation of handwritten document binary images. The Hough transform (HT) over the source image is applied and then the slope of handwritten rows is estimated by analyzing the parameter plane. The inverse HT is used for ‘cutting’ the image and forming ‘strips’, containing the respective handwritten rows ...
Vladimir A. Shapiro, Georgi Gluhchev, Vassil Stoyanov Sgurev   +2 more
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XML Data Representation in Document Image Analysis

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), 2007
This paper presents the XML-based formats ALTO, TEI, METS used for Digital Libraries and their interest for data representation in a Document Image Analysis and Recognition (DIAR) process. In the first part we briefly present these formats with focus on their adequacy for structural representation and modeling of DIAR data.
Belaid, Abdel, Falk, Ingrid, Rangoni, Yves   +2 more
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Treatment of Diagrams in Document Image Analysis

2000
Document image analysis is the study of converting documents from paper form to an electronic form that captures the information content of the document. Necessary processing includes recognition of document layout (to determine reading order, and to distinguish text from diagrams), recognition of text (called Optical Character Recognition, OCR), and ...
Dorothea Blostein, Edward Lank, Richard Zanibbi   +2 more
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Document images analysis solutions for digital libraries

First International Workshop on Document Image Analysis for Libraries, 2004. Proceedings., 2004
Today the development of digital libraries is reaching technological limits due to the difficulty of automatically processing a growing mass of digitized images of documents from different origins. The main problem is the high cost of the digitization and retro-conversion processes which include image capture and indexation, metadata extraction, image ...
Le Bourgeois, Frank, Trinh, Éric, Allier, Bénédicte, Eglin, Véronique, Emptoz, Hubert   +4 more
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Watershed Based Document Image Analysis

2010
Document image analysis is used to segment and classify regions of a document image into categories such as text, graphic and background. In this paper we first review existing document image analysis approaches and discuss their limits. Then we adapt the well-known watershed segmentation in order to obtain a very fast and efficient classification ...
Pasha Shadkami, Nicolas Bonnier
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Document image analysis for digital libraries

Proceedings of the 2006 international workshop on Research issues in digital libraries, 2006
Digital Libraries have many forms -- institutional libraries for information dissemination, document repositories for record-keeping, and personal digital libraries for organizing personal thoughts, knowledge, and course of action. Digital image content (scanned or otherwise) is a substantial component of all of these libraries.
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