Various authors, «International Journal of Document Analysis and Recognition»
Springer Berlin / Heidelberg | ISSN: 1433-2825 | February 2006 | PDF | Each article - separate file | 65 mb
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. Articles pointed on 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. Also there are articles on optical character recognition (OCR) and handwriting recognition.
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.
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
- - Processing Text in Other Contexts
- Multimedia and Hypermedia Analysis
- Time Varying Documents
- Distributed Document Collections (Digital Libraries).
Part 1, 35 Mb: http://www.ftp2share.com/file/17881/ijdar.part1.rar.html
Part 2, 28.2 Mb: http://www.ftp2share.com/file/17882/ijdar.part2.rar.html
After unpack you'll get folder "ijdar" with 7-zip solid archive "ijdar.7z", unpack it too. You'll get dictionary tree by volumes and numbers,
each article filename is the same as article original name, so you can search for needed article by searching on filenames.