A Lightweight CNN for Multi-Class Classification of Handwritten Digits and Mathematical Symbols

A Lightweight CNN for Multi-Class Classification of Handwritten Digits and Mathematical Symbols

Recognizing handwritten digits and mathematical symbols remains a nontrivial challenge due to handwriting variability and visual similarity among classes. While deep learning, particularly Convolutional Neural Networks (CNNs), has significantly advanced handwriting recognition, many existing solutio...

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Bibliographic Details
Main Authors: Nicholas Abisha, Tita Putri Redytadevi, Sri Nurdiati, Elis Khatizah, Mohamad Khoirun Najib
Format: Article
Language:Indonesian
Published: Universitas Dian Nuswantoro 2025-08-01
Series:Techno.Com
Online Access:https://publikasi.dinus.ac.id/index.php/technoc/article/view/13138
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