雜志介紹

International Journal On Document Analysis And Recognition雜志介紹

《International Journal On Document Analysis And Recognition》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱國際文獻分析與識別雜志，本刊主要出版、報道計算機科學-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE領域的研究動態(tài)以及在該領域取得的各方面的經(jīng)驗和科研成果，介紹該領域有關本專業(yè)的最新進展，探討行業(yè)發(fā)展的思路和方法，以促進學術信息交流，提高行業(yè)發(fā)展。該刊已被國際權威數(shù)據(jù)庫SCIE收錄，為該領域相關學科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認可。該刊最新影響因子為1.8，最新CiteScore 指數(shù)為6.2。

本刊近期中國學者發(fā)表的論文主要有：

• Scene text detection and recognition with advances in deep learning: a survey

  Author: Xiyan Liu, Gaofeng Meng, Chunhong Pan

• Metro maps for efficient knowledge learning by summarizing massive electronic textbooks

  Author: Weiming Lu, Pengkun Ma, Jiale Yu, Yangfan Zhou, Baogang Wei

• Visual word density-based nonlinear shape normalization method for handwritten Chinese character recognition

  Author: Yunxue Shao, Chunheng Wang, Baihua Xiao

• Multi-class segmentation of free-form online documents with tree conditional random fields

  Author: Adrien Delaye, Cheng-Lin Liu

英文介紹

International Journal On Document Analysis And Recognition雜志英文介紹

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.