Optical character recognition using backpropagation neural network for handwritten digit characters

• 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/32381/1/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; http://umpir.ump.edu.my/id/eprint/32381/; https://doi.org/10.1109/ICSECS52883.2021.00037

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...