You are here

Back to top

Handwritten Historical Document Analysis, Recognition, and Retrieval - State of the Art and Future Trends (Machine Perception and Artificial Intelligence #89) (Hardcover)

Handwritten Historical Document Analysis, Recognition, and Retrieval - State of the Art and Future Trends (Machine Perception and Artificial Intelligence #89) Cover Image
By Andreas Fischer (Editor), Marcus Liwicki (Editor), Ingold (Editor)
$127.40
Usually Ships in 1-5 Days

Description


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.

Product Details
ISBN: 9789811203237
ISBN-10: 9811203237
Publisher: World Scientific Publishing Company
Publication Date: November 13th, 2020
Pages: 268
Language: English
Series: Machine Perception and Artificial Intelligence