A Smart Visual Sensing Concept Involving Deep Learning for a Robust Optical Character Recognition under Hard Real-World Conditions

In this study, we propose a new model for optical character recognition (OCR) based on both CNNs (convolutional neural networks) and RNNs (recurrent neural networks). The distortions affecting the document image can take different forms, such as blur (focus blur, motion blur, etc.), shadow, bad cont...

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Detalles Bibliográficos
Autores principales: Mohsenzadegan, Kabeh, Tavakkoli, Vahid, Kyamakya, Kyandoghere
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414947/
https://www.ncbi.nlm.nih.gov/pubmed/36015785
http://dx.doi.org/10.3390/s22166025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414947/
https://www.ncbi.nlm.nih.gov/pubmed/36015785
http://dx.doi.org/10.3390/s22166025

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