Word Spotting as a Service: An Unsupervised and Segmentation-Free Framework for Handwritten Documents

Word spotting strategies employed in historical handwritten documents face many challenges due to variation in the writing style and intense degradation. In this paper, a new method that permits efficient and effective word spotting in handwritten documents is presented that relies upon document-ori...

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Detalles Bibliográficos
Autores principales: Zagoris, Konstantinos, Amanatiadis, Angelos, Pratikakis, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709349/
https://www.ncbi.nlm.nih.gov/pubmed/34940745
http://dx.doi.org/10.3390/jimaging7120278

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709349/
https://www.ncbi.nlm.nih.gov/pubmed/34940745
http://dx.doi.org/10.3390/jimaging7120278

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