Skip to content
#

handwritten-digit-recognition

Here are 435 public repositories matching this topic...

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

  • Updated Dec 4, 2024
  • Python

The purpose of this project is to take handwritten digits as input, process the digits, train the neural network algorithm with the processed data, to recognize the pattern and successfully identify the test digits. The popular MNIST dataset is used for the training and testing purposes. The IDE used is MATLAB

  • Updated Apr 2, 2019
  • MATLAB

Improve this page

Add a description, image, and links to the handwritten-digit-recognition topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the handwritten-digit-recognition topic, visit your repo's landing page and select "manage topics."

Learn more