A flexible system for document processing and text transcription

Authors:
Juan Miguel Vilar;María José Castro-Bleda;Francisco Zamora-Martínez;Salvador España-Boquera;Albert Gordo;David Llorens;Andrés Marzal;Federico Prat;Jorge Gorbe
Affiliations:
Departament de Llenguatges i Sistemes Informátics, Universitat Jaume I, Castelló, Spain;Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain;Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain;Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain;Departament de Llenguatges i Sistemes Informátics, Universitat Jaume I, Castelló, Spain;Departament de Llenguatges i Sistemes Informátics, Universitat Jaume I, Castelló, Spain;Departament de Llenguatges i Sistemes Informátics, Universitat Jaume I, Castelló, Spain;Departament de Llenguatges i Sistemes Informátics, Universitat Jaume I, Castelló, Spain;Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain
Venue:
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
Year:
2009

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Abstract

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 backends: 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.