handwritten-recognition

Offline handwritten mathematical expression recognition via stroke extraction for Android

handwritten writer identification using classical machine learning pattern recognition techniques

A web app that is made to scan handwritten text and convert it to typed one and then performs tasks like translation and summarization of that text and this app has mode which let you find details of any medicine just by scanning it.

PyTorch Implementation of Fast Fourier Convolution-RNN with CTC loss for Handwritten Recognition

Handwriting Digit & Character Recognition (Flask + TensorFlow)

A deep learning project for recognizing handwritten mathematical expressions and converting them to LaTeX using the Counting-Aware Network (CAN) on the CROHME dataset.

🧠 Real-time Handwritten Digit Recognizer using PyTorch CNN & Tkinter. Features a custom "Smart Centering" algorithm for high accuracy on any drawing

HTR Transformer for Hungarian Language

Optical Music Recognition dataset for handwritten annotations in music scores of the long 19th century.

FocusFlow is a state-of-the-art handwritten digit recognition system built with PyTorch and FastAPI. It features an Attention-based CNN for high accuracy, real-time sketching via Gradio, and integrated Grad-CAM visualizations to explain model predictions, all containerized with Docker for easy deployment.

This project is a comprehensive solution for recognizing handwritten digits and text from images, with functionalities for training, testing, and usage, making it suitable for tasks like cheque amount verification and other handwritten text recognition applications.

✍️ Draw digits (0-9) on canvas — ML model predicts instantly | Python | Random Forest | Streamlit | 99.4% Accuracy

This project implements a Handwritten Recognition System using the IAM Dataset and a Convolutional Neural Network (CNN) model

✏️ Handwritten Digit Recognition using CNN · 99.28% Accuracy · MNIST · 60,000 samples · Deployed on Hugging Face · InternGrow ML Internship Task 3 · Built by Abdullah Javid

Repo containing the AI projects which was done during the Teach-A-Intern's 30 days internship program.

This is a project made in Flutter for kana recognition by drawing the user's strokes using Tensorflow to recognize the drawn kana.

✍️ Handwritten Character Recognition | CNN model trained on MNIST dataset | Test Accuracy: ~99% | Uses TensorFlow & Keras with Conv2D, BatchNorm & Dropout layers | CodeAlpha ML Internship

Handwrite a question with Apple Pencil, get a context-aware answer from a vision LLM. Vanilla ES modules, no build step. Gemini 2.5 + GPT-4o.

Gujarati character recognition using CNN with PyQt5 GUI for handwritten character classification.

HANDWRITTEN MATHEMATICAL EQUATION SOLVER