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 His Doc 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.
Andreas Fischer & Marcus Liwicki
HANDWRITEN HISTORIC DOCUMENT ANAL, RECOGNITON & RETRIEVAL [EPUB ebook]
HANDWRITEN HISTORIC DOCUMENT ANAL, RECOGNITON & RETRIEVAL [EPUB ebook]
Acquista questo ebook e ricevine 1 in più GRATIS!
Lingua Inglese ● Formato EPUB ● Pagine 268 ● ISBN 9789811203251 ● Dimensione 14.5 MB ● Editore Andreas Fischer & Marcus Liwicki ● Casa editrice World Scientific Publishing Company ● Città Singapore ● Paese SG ● Pubblicato 2020 ● Scaricabile 24 mesi ● Moneta EUR ● ID 7673107 ● Protezione dalla copia Adobe DRM
Richiede un lettore di ebook compatibile con DRM