Proyecto de reconocimiento de digitos, hecho en mi primer semestre de la universidad.

Handwritten digit recognition from a single image using a neural network

classify handwritten digits (0-9)

5x5 digits recognize by neural network & Training data

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

experimenting with ai

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

Real-time Handwritten Digit Recognition using Python and OpenCV.

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

This program will train several time an ai model in order to make it predict handwritten digits

Project created on Computer Image Processing laboratories at Cracow University of Technology

A Python project that was developed as a university assignment for the subject of Signal Processing and Voice Recognition. The goal of this assignment was to make an ASR system that predict digits from a voice signal using Neural Network.

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).

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

Interactive handwritten digit recognition

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

Recognition of digits using Convolution Neural Networks and openCV Concept