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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2021
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| Subjects: | |
| 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 |
Internet
http://umpir.ump.edu.my/id/eprint/32381/1/Optical%20character%20recognition%20using%20backpropagation%20neural%20network%20for%20handwritten%20.pdfhttp://umpir.ump.edu.my/id/eprint/32381/2/Optical%20character%20recognition%20using%20backpropagation%20neural%20network%20for%20handwritten_FULL.pdf