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Abstract

Verónica Romero, Nicolás Serrano, Alejandro H. Toselli, Joan-Andreu Sánchez, Enrique Vidal. Handwritten Text Recognition for Historical Documents. Language Technologies for Digital Humanities and Cultural Heritage (Workshop associated RANLP 2011), 2011. pp. 90-96. INCOMA Ltd..

The amount of digitized legacy documents has been rising dramatically over the last years due mainly to the increasing number of on-line digital libraries publishing this kind of documents. The vast majority of them remain waiting to be transcribed into a textual electronic format (such as ASCII or PDF) that would provide historians and other researchers new ways of indexing, consulting and querying them. In this work, the state-of-the-art Handwritten Text Recognition techniques are applied for the automatic transcription of these historical documents. We report results for several ancient documents.