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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 4, APRIL 2025

DEEP LEARNING BASED HANDWRITTEN DIGIT RECOGNITION

Mrs. R Shilpa, Sunil Kumara, Aliya B, Navya Shree Patil B, Manjunatha N M

DOI: 10.17148/IJARCCE.2025.144105

Abstract: As computers play an increasingly vital role in human life and daily activities across various domains, humans have leveraged their intelligence and creativity to use computers in natural and effective ways. Hence, a reliable method for recognizing handwritten digits is essential. Handwritten Digit Recognition (HDR) can offer a clear benefit in this aspect. Deep Learning (DL) has been a powerful tool for solving various problems with high accuracy in recent years

How to Cite:

[1] Mrs. R Shilpa, Sunil Kumara, Aliya B, Navya Shree Patil B, Manjunatha N M, “DEEP LEARNING BASED HANDWRITTEN DIGIT RECOGNITION,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.144105