HANDWRITEN HISTORIC DOCUMENT ANAL, RECOGNITON & RETRIEVAL

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

Overview

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-13:	9789811203251
Publisher:	World Scientific Publishing Company, Incorporated
Publication date:	11/11/2020
Series:	SERIES IN MACHINE PERCEPTION & ARTIFICIAL INTELL , #89
Sold by:	Barnes & Noble
Format:	eBook
Pages:	268
File size:	15 MB
Note:	This product may take a few minutes to download.

Table of Contents

Introducton; The HisDoc Project: New Critcal Electronic Editon of Parzival by Wolfram von Eschenbach; IAM-HistDB: Handwriten Historical Document Database; DIVAHisDB: Challenging Medieval Manuscripts Database; Layout Analysis of Handwriten Documents; Automatc Handwritng Recogniton; Handwriten Keyword Spotng; Informaton Retrieval of Digitzed Medieval Manuscripts; DIVAServices — Transforming Document Analysis Methods into Web Services; GraphManuscribble: Interactve Annotaton of Historical Manuscripts; Related Research Projects: Lifelong Learning for Text Retrieval and Recogniton in Historical Handwriten Document Collecton; Browsing of the Social Network of the Past: Informaton Extracton from Populaton Manuscript Images; OldDocPro: Old Greek Document Recogniton; Advances in Handwriten Keyword Indexing and Search Technologies; TranScriptorium and READ; Conclusions and Future Trends