State: A Multimodal Assisted Text-Transcription System for Ancient Documents

Author

Gordo, Albert ; Llorens, David ; Marzal, Andrés ; Prat, Federico ; Vilar, Juan Miguel

Author_Institution

Dept. de Llenguatges i Sistemes Inf., Univ. Jaume I, Castello

fYear

2008

fDate

16-19 Sept. 2008

Firstpage

135

Lastpage

142

Abstract

We present a complete assisted transcription system for ancient documents: State. The system consists of two applications: a pen-based, interactive application to assist humans in transcribing ancient documents and a recognition engine which offers automatic transcriptions via a web service. The interaction model and the recognition algorithm employed in the current version of State are presented. Some preliminary experiments show the productivity gains obtained with the system when transcribing a document and the error rate of the current recognition engine.

Keywords

Web services; character recognition; document image processing; interactive devices; text analysis; State system; Web service; ancient documents; automatic transcriptions; interactive application; multimodal assisted text-transcription system; pen-based application; recognition engine; Character recognition; Engines; Error analysis; Humans; Image recognition; Keyboards; Optical character recognition software; Optical noise; Productivity; Web services;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on

Conference_Location

Nara

Print_ISBN

978-0-7695-3337-7

Type

conf

DOI

10.1109/DAS.2008.28

Filename

4669954