A Deep-Learning Based Visual Sensing Concept for a Robust Classification of Document Images under Real-World Hard Conditions

This paper’s core objective is to develop and validate a new neurocomputing model to classify document images in particularly demanding hard conditions such as image distortions, image size variance and scale, a huge number of classes, etc. Document classification is a special machine vision task in...

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Detalles Bibliográficos
Autores principales: Mohsenzadegan, Kabeh, Tavakkoli, Vahid, Kyamakya, Kyandoghere
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537789/
https://www.ncbi.nlm.nih.gov/pubmed/34695977
http://dx.doi.org/10.3390/s21206763

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537789/
https://www.ncbi.nlm.nih.gov/pubmed/34695977
http://dx.doi.org/10.3390/s21206763

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