Convolutional-Neural-Network-Based Handwritten Character Recognition: An Approach with Massive Multisource Data

Convolutional-Neural-Network-Based Handwritten Character Recognition: An Approach with Massive Multisource Data

Neural networks have made big strides in image classification. Convolutional neural networks (CNN) work successfully to run neural networks on direct images. Handwritten character recognition (HCR) is now a very powerful tool to detect traffic signals, translate language, and extract information fro...

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Bibliographic Details
Main Authors: Nazmus Saqib, Khandaker Foysal Haque, Venkata Prasanth Yanambaka, Ahmed Abdelgawad
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Algorithms
Subjects:
handwritten character recognition
English character recognition
convolutional neural networks (CNNs)
deep learning in character recognition
digit recognition
English alphabet recognition
Online Access:https://www.mdpi.com/1999-4893/15/4/129

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https://www.mdpi.com/1999-4893/15/4/129

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