2010 | OriginalPaper | Buchkapitel
A Flexible System for Document Processing and Text Transcription
verfasst von : Juan Miguel Vilar, María José Castro-Bleda, Francisco Zamora-Martínez, Salvador España-Boquera, Albert Gordo, David Llorens, Andrés Marzal, Federico Prat, Jorge Gorbe
Erschienen in: Current Topics in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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State
is a flexible system for document processing. It comprises a graphical front-end that can be easily connected to different text recognition back-ends. We comment here the front-end and two back-ends: one based on nearest neighbors and one based on Hidden Markov Models. Experimentation shows that if the back-end has a moderately low character error rate, productivity gains can be as high as 100% when compared to directly transcribing the text.