tranScriptorium

tranScriptorium

 Coordinatore UNIVERSITAT POLITECNICA DE VALENCIA 

 Organization address address: CAMINO DE VERA S/N
city: VALENCIA
postcode: 46022

contact info
Titolo: Mr.
Nome: José Antonio
Cognome: Pérez García
Email: send email
Telefono: +34 96 387 7409
Fax: +34 96 387 7949

 Nazionalità Coordinatore Spain [ES]
 Totale costo 3˙005˙570 €
 EC contributo 2˙399˙739 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2011-9
 Funding Scheme CP
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-01-01   -   2015-12-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITAT POLITECNICA DE VALENCIA

 Organization address address: CAMINO DE VERA S/N
city: VALENCIA
postcode: 46022

contact info
Titolo: Mr.
Nome: José Antonio
Cognome: Pérez García
Email: send email
Telefono: +34 96 387 7409
Fax: +34 96 387 7949

ES (VALENCIA) coordinator 0.00
2    INSTITUUT VOOR NEDERLANDSE LEXICOLOGIE

 Organization address address: Matthias de Vrieshof 2-3, 2311 BZ
city: LEIDEN
postcode: 2300RA

contact info
Titolo: Ms.
Nome: Katrien
Cognome: Depuydt
Email: send email
Telefono: +31 715272479
Fax: +31 715272115

NL (LEIDEN) participant 0.00
3    NATIONAL CENTER FOR SCIENTIFIC RESEARCH "DEMOKRITOS"

 Organization address address: Patriarchou Gregoriou Str.
city: AGHIA PARASKEVI
postcode: 15310

contact info
Titolo: Mr.
Nome: Evripides
Cognome: Papadopoulos
Email: send email
Telefono: +30 210 6503037
Fax: +30 210 6522623

EL (AGHIA PARASKEVI) participant 0.00
4    UNIVERSITAET INNSBRUCK

 Organization address address: INNRAIN
city: INNSBRUCK
postcode: 6020

contact info
Titolo: Dr.
Nome: Günter
Cognome: Mühlberger
Email: send email
Telefono: +43 512 5078454

AT (INNSBRUCK) participant 0.00
5    UNIVERSITY COLLEGE LONDON

 Organization address address: Gower Street
city: LONDON
postcode: WC1E 6BT

contact info
Titolo: Ms.
Nome: Greta
Cognome: Borg-Carbott
Email: send email
Telefono: +44 20 3108 3033

UK (LONDON) participant 0.00
6    UNIVERSITY OF LONDON

 Organization address address: Malet Street, Senate House
city: LONDON
postcode: WC1E 7HU

contact info
Titolo: Mr.
Nome: Richard
Cognome: Davis
Email: send email
Telefono: +44 20 7863 1350

UK (LONDON) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

documents    techniques    content    accuracy    portal    transcriptorium    mainly    digital    indexing    quality    handwritten    images    lack    full    htr    recognition    transcription    web    historical    holistic    document    image   

 Obiettivo del progetto (Objective)

Huge amounts of handwritten historical documents are being published by on-line digital libraries world wide. However, for these raw digital images to be really useful, they need be annotated with informative content. The tranScriptorium project aims to develop innovative, efficient and cost-effective solutions for the indexing, search and full transcription of historical handwritten document images, using modern, holistic Handwritten Text Recognition (HTR) technology. For typical handwritten text images of historical documents, currently available text image recognition technologies are not suitable. Traditional Optical Character Recognition (OCR) is simply not usable since characters can not be isolated automatically in these images. Therefore, holistic, segmentation-free HTR techniques, often borrowed from the field of Automatic Speech Recognition are needed. Yet, state-of-the-art holistic HTR approaches still lack the required accuracy, mainly due to the usual poor quality, degradations and writing style variability of historical document images. To cope with this lack of recognition accuracy for handwritten text images of historical documents, three actions are planned in tranScriptorium: i) improve basic image preprocessing and holistic HTR techniques; ii) develop novel indexing and keyword searching approaches, mainly based on byproducts of holistic HTR decoding and word spotting techniques; and iii) capitalize on new, user-friendly interactive-predictive HTR approaches for computer-assisted operation, which minimize the user intervention needed to achieve full, high quality transcripts. HTR tools based on tranScriptorium techniques will be incorporated into HTR web platforms that will be accessible to users through two different means: i) a content provider portal that provides access to handwritten historical documents for casual, individual researchers; and b) a specialized HTR web portal for structured crowd-sourcing transcription projects.

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