Cargando…
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...
Autores principales: | Zagoris, Konstantinos, Amanatiadis, Angelos, Pratikakis, Ioannis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
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 |
Ejemplares similares
-
HTR for Greek Historical Handwritten Documents
por: Tsochatzidis, Lazaros, et al.
Publicado: (2021) -
A Model for Evaluating the Performance of a Multiple Keywords Spotting System for the Transcription of Historical Handwritten Documents
por: Marcelli, Angelo, et al.
Publicado: (2020) -
Hough Transform-Based Angular Features for Learning-Free Handwritten Keyword Spotting
por: Kundu, Subhranil, et al.
Publicado: (2021) -
Ancient administrative handwritten documents: X-ray analysis and imaging
por: Albertin, F., et al.
Publicado: (2015) -
A Novel GAN-Based Synthesis Method for In-Air Handwritten Words
por: Zhang, Xin, et al.
Publicado: (2020)