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

Authors:
Albert Gordo;David Llorens;Andrés Marzal;Federico Prat;Juan Miguel Vilar
Affiliations:
-;-;-;-;-
Venue:
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Year:
2008

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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.