International Journal on Document Analysis and Recognition (IJDAR)
Sponsored by the International Association for Pattern Recognition, this journal is focused on publishing articles that cover all areas related to document analysis and recognition. This includes contributions dealing with computer recognition of characters, symbols, text, lines, graphics, images, handwriting, signatures, as well as automatic analyses of the overall physical and logical structures of documents, with the ultimate objective of a high-level understanding of their semantic content.
The International Journal on Document Analysis and Recognition (IJDAR) publishes articles of four primary types: original research papers, correspondence, overviews and summaries, and system descriptions. It also features special issues on active areas of research.
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Academic Search Alumni Edition, Academic Search Complete, Academic Search Premier, Bibliography of Linguistic Literature, Compendex, Compuscience, Computer Science Index, Current Abstracts, Current Contents/Engineering, Computing, and Technology, DBLP, Google, INSPEC, Journal Citation Reports/Science Edition, OCLC ArticleFirst Database, OCLC FirstSearch Electronic Collections Online, PASCAL, SCOPUS, Science Citation Index Expanded, Summon by Serial Solutions, TOC Premier.
Special Issue Paper
Integrating scattering feature maps with convolutional neural networks for Malayalam handwritten character recognition
A comprehensive study of hybrid neural network hidden Markov model for offline handwritten Chinese text recognition
- Journal Title
- International Journal on Document Analysis and Recognition (IJDAR)
- Volume 1 / 1998 - Volume 21 / 2018
- Print ISSN
- Online ISSN
- Springer Berlin Heidelberg
- Additional Links
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