International Journal on Document Analysis and Recognition (IJDAR)

期刊简介：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.

【译文】大量现有文献以及每年产生的众多新文献，在文献及其包含信息的有效处理、检索和存储方面提出了重要问题。这导致了新的研究领域出现，这些领域涉及计算机识别文献的构成要素——包括字符、符号、文本、线条、图形、图像、手写、签名等。此外，这些新领域还涉及对文献的整体物理和逻辑结构的自动分析，其最终目标是实现对其语义内容的高级理解。在过去十年中，对光学字符识别（OCR）和手写识别也重新引起了人们的兴趣。文献分析和识别显然是下一个阶段。自动、智能的文档处理是许多研究领域的交汇点，特别是计算机视觉、图像分析、模式识别和人工智能，以及阅读、手写和语言学的研究。