TY - CONF AU - L.Tarazon AU - D. Perez AU - N. Serrano AU - V. Alabau AU - Oriol Ramos Terrades AU - A. Sanchis AU - A. Juan A2 - ICIAP PY - 2009// TI - Confidence Measures for Error Correction in Interactive Transcription of Handwritten Text T2 - LNCS BT - 15th International Conference on Image Analysis and Processing SP - 567 EP - 574 VL - 5716 PB - Springer Berlin Heidelberg N2 - An effective approach to transcribe old text documents is to follow an interactive-predictive paradigm in which both, the system is guided by the human supervisor, and the supervisor is assisted by the system to complete the transcription task as efficiently as possible. In this paper, we focus on a particular system prototype called GIDOC, which can be seen as a first attempt to provide user-friendly, integrated support for interactive-predictive page layout analysis, text line detection and handwritten text transcription. More specifically, we focus on the handwriting recognition part of GIDOC, for which we propose the use of confidence measures to guide the human supervisor in locating possible system errors and deciding how to proceed. Empirical results are reported on two datasets showing that a word error rate not larger than a 10% can be achieved by only checking the 32% of words that are recognised with less confidence. SN - 0302-9743 SN - 978-3-642-04145-7 UR - http://dx.doi.org/10.1007/978-3-642-04146-4_61 N1 - DAG ID - L.Tarazon2009 ER -