Title :
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
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;
Conference_Titel :
Document Analysis Systems, 2008. DAS '08. The Eighth IAPR International Workshop on
Conference_Location :
Nara
Print_ISBN :
978-0-7695-3337-7
DOI :
10.1109/DAS.2008.28
