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Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout
Autor:
Amani Ali Ahmed Ali, Suresha Mallaiah
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 3294-3300 (2022)
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, Autho
Externí odkaz:
https://doaj.org/article/0c8e6d0a646e46dbb8566f571dfdfd45
Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout
Autor:
Suresha Mallaiah, Amani Ali Ahmed Ali
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:3294-3300
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, Autho