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International Journal on Document Analysis and Recognition (IJDAR) (Record no. 1952)

MARC details
000 -LEADER
fixed length control field 04447nas a22003255i 4500
001 - CONTROL NUMBER
control field 1433-2825
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260610082456.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1433-2825
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/10032.1433-2825
Source of number or code doi
210 10 - ABBREVIATED TITLE
Abbreviated title IJDAR
245 10 - TITLE STATEMENT
Title International Journal on Document Analysis and Recognition (IJDAR)
Medium [electronic resource] /
Statement of responsibility, etc. edited by Richard Zanibbi, Koichi Kise, Daniel Lopresti, Josep Llados.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin/Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg :
-- Imprint: Springer.
300 ## - online resource
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. The large number of existing documents and the production of a multitude of new ones every year raise important issues in efficient handling, retrieval and storage of these documents and the information which they contain. This has led to the emergence of new research domains dealing with the recognition by computers of the constituent elements of documents - including characters, symbols, text, lines, graphics, images, handwriting, signatures, etc. In addition, these new domains deal with automatic analyses of the overall physical and logical structures of documents, with the ultimate objective of a high-level understanding of their semantic content. We have also seen renewed interest in optical character recognition (OCR) and handwriting recognition during the last decade. Document analysis and recognition are obviously the next stage. Automatic, intelligent processing of documents is at the intersections of many fields of research, especially of computer vision, image analysis, pattern recognition and artificial intelligence, as well as studies on reading, handwriting and linguistics. Although quality document related publications continue to appear in journals dedicated to these domains, the community will benefit from having this journal as a focal point for archival literature dedicated to document analysis and recognition. This journal publishes articles of four primary types - original research papers, correspondence, overviews and summaries, and research notes. Special issues on active areas of research are encouraged. We welcome submissions in all areas related to document analysis and recognition. New datasets to support document analysis research are generally of interest to the readership of IJDAR. Several conditions need to be satisfied first, however, before a paper presenting such a dataset will be considered for publication in the journal. (a) The dataset must be new, (b) The dataset must be freely available to the internationa l research community on a public repository, and (c) The dataset and its distribution must follow all applicable laws and regulations regarding personal data privacy and usage rights. In addition, a new dataset in-and-of-itself does not make a publishable paper. The paper must include, in addition, experimental results that illustrate and demonstrate the utility and significance of the new dataset. Possible topics include: - Document Image Processing - Document Models - Handwriting Models and Analysis - Character and Word Recognition - On-line Recognition - Pen Based Computing - Multi-lingual Processing - Physical and Logical Analysis - Graphics Recognition - Map and Line Drawing Understanding - Storage and Retrieval of Documents - Text Analysis and Processing - Natural Language Issues - Information Extraction and Filtering - Performance Evaluation - Document Authentification and Validation - Implementations, Applications and Systems as well as non-traditional topics such as: - Processing Text in Other Contexts - Multimedia and Hypermedia Analysis - Time Varying Documents - Distributed Document Collections (Digital Libraries).    .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pattern recognition systems.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Vision.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Automated Pattern Recognition.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zanibbi, Richard.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kise, Koichi.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lopresti, Daniel.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Llados, Josep.
Relator term editor.
Relationship edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed version:
International Standard Serial Number 1433-2833
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/10032.1433-2825">https://doi.org/10.1007/10032.1433-2825</a>
Public note Hybrid

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