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Abstract

Moisés Pastor-i-Gadea, Alejandro H. Toselli, Francisco Casacuberta, Enrique Vidal. A Bi-modal Handwritten Text Corpus: baseline results. Proceedings of the 20th International Conference on Pattern Recognition (ICPR'10), 2010.

Handwritten text is generally captured through two main modalities: off-line and on-line. Smart approaches to handwritten text recognition (HTR) may take advantage of both modalities if they are available. This is for instance the case in computer-assisted transcription of text images, where on-line text can be used to interactively correct errors made by a main off-line HTR system. We present here baseline results on the biMod-IAM-PRHLT corpus, which was recently compiled for experimentation with techniques aimed at solving the proposed multi-modal HTR problem, and is being used in one of the official ICPR-2010 contests.