期刊缩写       INT J DOC ANAL RECOG

期刊全称       International Journal on Document Analysis and Recognition 国际文档分析和识别杂志

期刊ISSN      1433-2833

2012-2013最新影响因子     0.800

期刊官方网站       http://www.springer.com/computer/image+processing/journal/10032

              http://link.springer.com/journal/10032

期刊投稿网址      

通讯方式       SPRINGER HEIDELBERG, TIERGARTENSTRASSE 17, HEIDELBERG, GERMANY, D-69121

涉及的研究方向    工程技术-计算机：人工智能

出版国家       GERMANY

出版周期       Quarterly

出版年份       1998

年文章数       20

 

 

Editors-in-Chief: K. Kise; D. Lopresti; S. Marinai

ISSN: 1433-2833 (print version)

ISSN: 1433-2825 (electronic version)

Journal no. 10032

 

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 artifical 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.

 

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 Page 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)