An Efficient CNN Model for Automated Digital Handwritten Digit Classification
Background: Handwriting recognition becomes an appreciable research area because of its important practical applications, but varieties of writing patterns make automatic classification a challenging task. Classifying handwritten digits with a higher accuracy is needed to improve the limitations fro...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Airlangga
2021-04-01
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| Series: | Journal of Information Systems Engineering and Business Intelligence |
| Online Access: | https://e-journal.unair.ac.id/JISEBI/article/view/24237 |