intelligent handwritten recognition using hybrid cnn architectures based-svm classifier with dropout参考文献.pdf
Journal of King Saud University – Computer and Information Sciences xxx (xxxx) xxx Contents lists available at ScienceDirect Journal of King Saud University – Computer and Information Sciences journal homepage: Intelligent handwritten recognition using hybrid CNN architectures based-SVM classifier with dropout ⇑ Amani Ali Ahmed Ali a,b, , Suresha Mallaiah b a Taiz University, Department of Computer Science, Taiz, Yemen b Kuvempu University, Department of MCA and Computer Science, Shimoga, India article info abstract Article history: Text recognition in Arabic handwritten scripts is an active research field. These recognition systems face Received 29 July 2020 numerous challenges, including enormous open data-bases, infinite variation in people’s handwriting, Revised 2 January 2021 and freestyle. In this manuscript, Authors model deep learning architecture which can efficiently be uti- Accepted 18 January 2021 lized to recognizing Arabic handwritt
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