Convolutional neural network model for handwritten digit classification, with dataset generator, and drawable input for new digits to test the models. Leave your STAR here and get a FOLLOWING!

a web application of handwritten digits recognition based on Django

Emerging Technologies Project - 4th Year 2017

Using Keras MobileNet-v2 model with your custom images dataset

Recognize Digits

An automated data collection system that can read sintering data on the meter by a single camera

hand-written digits recongnization base on RBM

Recognition of digits using Convolution Neural Networks and openCV Concept

Artificial Neural Network to identify handwritten digits between 0 and 9

WebCam Real Time Digits Recognition - OpenCV Python3

This repository contains some of the machine learning scripts that I have implemented as a part of Machine Learning coursework.

Implementation of multinomial logistic regression, tested on iris, digits, and cifar datasets

Find the number of digits hold in the hand through computer vision, using the webcam video feed.

Interactive handwritten digit recognition

Application to scan exam cover pages and aggregate as well as analyze the exam's scores

Digit recognition (MNIST dataset) using a fully connected neural network (97+ on test)

It can recognize Digits from 0 to 9. Used Local Binary Pattern (LBP) and Support Vector Machine (SVM).

5x5 digits recognize by neural network & Training data

Simple perceptron to recognize handwritten digits and application to demonstrate this ability