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Lexicon-based probabilistic indexing of handwritten text images

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Lexicon-based probabilistic indexing of handwritten text images

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Vidal, E.; Toselli, AH.; Puigcerver, J. (2023). Lexicon-based probabilistic indexing of handwritten text images. Neural Computing and Applications. 35(24):17501-17520. https://doi.org/10.1007/s00521-023-08620-y

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/204629

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Título: Lexicon-based probabilistic indexing of handwritten text images
Autor: Vidal, Enrique Toselli, Alejandro Héctor Puigcerver, Joan
Fecha difusión:
Resumen:
[EN] Keyword Spotting (KWS) is here considered as a basic technology for Probabilistic Indexing (PrIx) of large collections of handwritten text images to allow fast textual access to the contents of these collections. Under ...[+]
Palabras clave: Pattern recognition , Posteriorgram , Relevance probability , Hidden Markov model , Recurrent neural network , Handwritten text analysis and recognition , Keyword spotting , Large-scale indexing and search
Derechos de uso: Reconocimiento (by)
Fuente:
Neural Computing and Applications. (issn: 0941-0643 )
DOI: 10.1007/s00521-023-08620-y
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s00521-023-08620-y
Agradecimientos:
Work partially supported by ValgrAI-Valencian Graduate School and Research Network of Artificial Intelligence (Generalitat Valenciana) co-funded by the European Union; and by a Maria Zambrano grant of the Spanish Ministerio ...[+]
Tipo: Artículo

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