Optical character recognition using backpropagation neural network for handwritten digit characters

Optical character recognition using backpropagation neural network for handwritten digit characters

Recognizing handwritten characters, the accuracy of the optical character recognition is usually not relatively high due to every person having their unique way of writing characters. Therefore, we focus on finding a high recognition accuracy of optical character recognition by using a backpropagati...

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Bibliographic Details
Main Authors: Yap, Mei Ing, Moorthy, Kohbalan, Kauthar, Mohd Daud, Ernawan, Ferda
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2021
Subjects:
QA76 Computer software
Online Access:http://umpir.ump.edu.my/id/eprint/32381/
http://umpir.ump.edu.my/id/eprint/32381/1/Optical%20character%20recognition%20using%20backpropagation%20neural%20network%20for%20handwritten%20.pdf
http://umpir.ump.edu.my/id/eprint/32381/2/Optical%20character%20recognition%20using%20backpropagation%20neural%20network%20for%20handwritten_FULL.pdf

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