Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet

Handwritten Urdu Characters and Digits Recognition Using Transfer Learning and Augmentation With AlexNet

Automated recognition of handwritten characters and digits is a challenging task. Although a significant amount of literature exists for automatic recognition of handwritten characters of English and other major languages in the world, there exists a wide research gap due to lack of research for rec...

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Bibliographic Details
Main Authors: Aqsa Rasheed, Nouman Ali, Bushra Zafar, Amsa Shabbir, Muhammad Sajid, Muhammad Tariq Mahmood
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Automated recognition
urdu HCR systems
CNN
transfer learning
alexnet
SVM
Online Access:https://ieeexplore.ieee.org/document/9900315/
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https://ieeexplore.ieee.org/document/9900315/

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