Product Information
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 Identifiers
PublisherWorld Industries Scientific Publishing Co Pte LTD
ISBN-139789811203237
eBay Product ID (ePID)4046665876
Product Key Features
SubjectDisability, Computer Science
Publication Year2020
Number of Pages268 Pages
Publication NameHandwritten Historical Document Analysis, Recognition, And Retrieval - State Of The Art And Future Trends
LanguageEnglish
TypeTextbook
AuthorMarcus Liwicki, Rolf (Jurg) Ingold, Andreas Fischer
SeriesSeries in Machine Perception and Artificial Intelligence
Additional Product Features
Country/Region of ManufactureSingapore
EditorRolf (Jurg) Ingold, Marcus Liwicki, Andreas Fischer