A Novel Deep Convolutional Neural Network Architecture Based on Transfer Learning for Handwritten Urdu Character Recognition

A Novel Deep Convolutional Neural Network Architecture Based on Transfer Learning for Handwritten Urdu Character Recognition

Deep convolutional neural networks (CNN) have made a huge impact on computer vision and set the state-of-the-art in providing extremely definite classification results. For character recognition, where the training images are usually inadequate, mostly transfer learning of pre-trained CNN is often u...

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Bibliographic Details
Main Authors: Mohammed Aarif Kilvisharam Oziuddeen, Sivakumar Poruran, Mohamed Yousuff Caffiyar
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2020-01-01
Series:Tehnički Vjesnik
Subjects:
deep learning
document analysis
pattern recognition
pretrained CNN
transfer learning
Urdu character recognition
Online Access:https://hrcak.srce.hr/file/351987

Internet

https://hrcak.srce.hr/file/351987

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