International Journal on Document Analysis and Recognition

International Journal on Document Analysis and Recognition provides a place for the publication of recent research results in the rapidly developing fields of Image Processing & Computer Vision and Machine Learning & Artificial intelligence . The publication policy for International Journal on Document Analysis and Recognition is to publish new original articles that have been extensively reviewed by experienced academic peers. The journal welcomes submissions from the research community where emphasis will be placed on the innovativeness and the practical importance of the published research.

International Journal on Document Analysis and Recognition is listed in a wide range of abstracting and indexing datasets including Scopus, Web of Science and Guide2Research. A number of leading scientists have published their research contributions at this Journal including CV Jawahar, Robert Sabourin, Luiz Eduardo S. Oliveira and David Doermann.

For further information on the guidelines and submission requirements for authors, you are advised to consult the official website for the journal for International Journal on Document Analysis and Recognition at https://www.springer.com/journal/10032 .