Convolutional neural network model for handwritten digit classification, with dataset generator, and drawable input for new digits to test the models.

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

Recognition of digits using Convolution Neural Networks and openCV Concept

hand-written digits recongnization base on RBM

Artificial Neural Network to identify handwritten digits between 0 and 9

WebCam Real Time Digits Recognition - OpenCV Python3

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

5x5 digits recognize by neural network & Training data

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

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

classify handwritten digits (0-9)

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

Interactive handwritten digit recognition

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).

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