International Journal on Document Analysis and Recognition
| 短名 | IJDAR |
| Journal Impact | 1.80 |
| 国际分区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE(Q3) |
| 期刊索引 | SCI Q3中科院 4 区 |
| ISSN | 1433-2825, 1433-2833 |
| h-index | 59 |
| 国内分区 | 计算机科学(4区)计算机科学计算机人工智能(4区) |
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.
期刊主页投稿网址| 涉及主题 | 计算机科学人工智能心理学认知心理学模式识别（心理学）计算机视觉数学哲学语言学程序设计语言自然语言处理图像（数学）几何学语音识别机器学习物理情报检索地理操作系统工程类生物历史考古 |
| 出版信息 | 出版商: Springer Verlag，出版周期: Quarterly，期刊类型: journal |
| 基本数据 | 创刊年份: 1998，原创研究文献占比: 100.00%，自引率:11.10%， Gold OA占比: 16.48% |
| 平均审稿周期 | 网友分享经验：>12周，或约稿 |
| 平均录用比例 | 网友分享经验：容易 |
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