• Dr. Ramji Yadav
• Lokesh Rathore

The recognition of handwritten digits stands as a foundational challenge in the realms of computer vision and machine learning. Over the years, with the emergence of digitized datasets and the development of sophisticated algorithms, substantial progress has been achieved in this domain. This review paper aims to deliver a thorough analysis of diverse techniques and methodologies utilized in the recognition of handwritten digits. The exploration encompasses the historical evolution, contemporary state-of-the-art approaches, existing challenges, and practical applications within this significant field

MNIST, SVM, ANN, CNN

"Handwritten Digit Recognition: An Extensive Review of Models and Applications in the Digital Era ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 8, page no.e414-e416, August-2024, Available :http://www.jetir.org/papers/JETIR2408546.pdf

"Handwritten Digit Recognition: An Extensive Review of Models and Applications in the Digital Era ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 8, page no. ppe414-e416, August-2024, Available at : http://www.jetir.org/papers/JETIR2408546.pdf