Handwritten Digit Recognition using Machine Learning and Deep Learning

Using OpenCV in python to recognize digits in a scanned page of handwritten digits.

Handwritten digit recognition with MNIST & Keras

(Pattern Recognition) Pytorch implementation of “HTR-VT: Handwritten Text Recognition with Vision Transformer”

Convert hand written mathematical expressions and formula to Latext using Machine Learning

🏆 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.

Extract and solve sudoku from an image using Computer Vision and Deep Learning

Handwritten Digit Recognition Using Convolutional Neural Network by Python

🎰Handwritten digit recognition application implemented by TensorFlow2 + Keras and Flask.

MNIST·扩展数据集·手写识别计算器·多目标检测·可解释性分析·可视化·handwriting recognition calculator·multi-target detection·explainability·extended dataset

Iranian cars number plate detection and recognition

A modified extractor for the CROHME handwritten math symbols dataset.

Handwritten Formula Recognition | 手写公式识别

Multiple Handwritten Digit Recognition app Using Deep Learing - CNN from Canvas build on tkinter- GUI

Persian Handwriting Digit Recognition

An Encoder-Decoder model converting handwritten mathematical expressions to LaTeX-code

A Convolutional Neural Network model created using PyTorch library over the MNIST dataset to recognize handwritten digits .

Handwritten digit recognition | 手写数字识别

A web-based handwritten digit recognizer with neural network visualization. See the activations of every neuron in real-time as your digit is processed.

Using convolutional neural network and MNIST dataset to recognize handwritten digits