Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout

Text recognition in Arabic handwritten scripts is an active research field. These recognition systems face numerous challenges, including enormous open data-bases, infinite variation in people’s handwriting, and freestyle. In this manuscript, Authors model deep learning architecture which can effici...

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Detalles Bibliográficos
Autores principales: Amani Ali Ahmed Ali, Suresha Mallaiah
Formato: Artigo
Lenguaje:Inglês
Publicado: Springer 2022-06-01
Colección:Journal of King Saud University: Computer and Information Sciences
Materias:
Arabic handwritten recognition
CNN
Deep convolution neural network
Deep learning
Dropout
Image classification
Acceso en línea:http://www.sciencedirect.com/science/article/pii/S1319157821000148
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