This project offers an efficient method for identifying and recognizing handwritten text from images. Using a Convolutional Recurrent Neural Network (CRNN) for Optical Character Recognition (OCR), it effectively extracts text from images, aiding in the digitization of handwritten documents and automated text extraction.

Handwritten Digit Recognition using Softmax Regression in Python

Recognize Digits

MNIST数据集 手写数字识别 CNN

Hello World of Computer Vision and ML

This contains the assignment solutions for the course CMPT 762 Computer Vision @ SFU

Using a Convolutional Neural Network (CNN) to identify the Kannada numerical digits. Tensorflow (Keras) is used to create, train and load the neural network model. CustomTKinter/TKinter are used to provide the GUI and OpenCV is used to read input form the GUI.

This project uses TinyVGG and Streamlit to classify handwritten digits.

Implementing computer vision fundamentals with the famous MNIST data.

Implemented various Machine Learning and Deep Learning Algorithms on the famous digit recognition problem using the MNIST (Mixed National Institute of Standards and Technology) database.

An implementation of Neural Networks from scratch in python using only numpy for MNIST dataset .

Neural network for handwritten digit recognition built from scratch in Java to familiarize myself with the language

A Convolutional Neural Network to predict handwriting ditgit form image by MNIST datasets

A digit recognition canvas where you can draw your own custom digits on the canvas and the program will predict what digit it thinks it is using a neural network.

Digit recognition

MNIST Digit Recognition Using Scikit-Learn and Ensemble Learning and Then Make an Web-App Using Flask.

An app that recognizes handwritten digits, either through an in-built canvas or through a photo of a handwritten digit (on paper) taken by the camera and outputs the respective number using a Machine Learning algorithm (Neural Network) via text and voice.

Built from scratch SVM, Kernel Perceptron and Neural Network implemented to recognize handwritten digits from the mnist dataset. Includes jupyter notebook of code, mnist handwritten digit data and a PDF of the code & results.