a handwritten numeral recognition system with an unique Graphical User Interface
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Updated
Nov 5, 2018 - Python
a handwritten numeral recognition system with an unique Graphical User Interface
this is my first research for my machine learning and deep learning, i collected nearly 6000 image for each class the total class is 45 and the total image is 345000
Lectaurep-Bronod, ground truth for Maitre Bronod's documents (French 18th century)
Recognition of Handwritten Text using Tensorflow and tesseract
TextToHandwriting tool
A Web application to convert typed text into a handwritten text on a page.
Myanmar, My Country is a data collection project of data and ml club of University of Technology, Yatanarpon Cyber City.
📄 ✒️ Templates that I use in meetings/lectures to keep my handwritten notes organized.
Lectaurep-Mariages-et-Divorces, ground truth for the Registres des Contrats de Mariages et des Séparations et Divorces (French 19th century)
The handwritten digit recognition is the ability of computers to recognize human handwritten digits. It is a hard task for the machine because handwritten digits are not perfect and can be made with many different classifier model
Ground truth for various Parisian notary's repertoires (French 19th and 20th century)
Rede Neural Convolucional para predição de Dígitos Manuscritos em Python, usando o framework TensorFlow com Keras
✍️ Yann LeCun's MNIST handwritten digit dataset, made available to Node.js.
An implementation of k-means clustering to recognise handwritten digits.
Implementation of digit recognition using the MNIST dataset. Train a model on grayscale handwritten digit images to accurately classify and predict numerical values of unseen digits.
Small HTML5 Canvas library for hand-written fonts and exchange of messages.
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