Handwritten Historical Document Analysis, Recognition, And Retrieval - State Of The Art And Future Trends (Series In Machine Perception And Artificial Intelligence, #89)

by Andreas Fischer, Marcus Liwicki, and Rolf (Jurg) Ingold

Andreas Fischer (Editor), Marcus Liwicki (Editor), and Rolf (Jurg) Ingold (Editor)

0 ratings • 0 reviews • 0 shelved
Book cover for Handwritten Historical Document Analysis, Recognition, And Retrieval - State Of The Art And Future Trends
Shelve It

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

In recent years, libraries and archives all around the world have increased their efforts to digitize historical manuscripts. To integrate the manuscripts into digital libraries, pattern recognition and machine learning methods are needed to extract and index the contents of the scanned images.The unique compendium describes the outcome of the HisDoc research project, a pioneering attempt to study the whole processing chain of layout analysis, handwriting recognition, and retrieval of historical manuscripts. This description is complemented with an overview of other related research projects, in order to convey the current state of the art in the field and outline future trends.This must-have volume is a relevant reference work for librarians, archivists and computer scientists.
  • ISBN13 9789811203237
  • Publish Date 13 November 2020
  • Publish Status Active
  • Publish Country SG
  • Imprint World Scientific Publishing Co Pte Ltd