metadata

title: Gregg Shorthand Recognition
emoji: 🖋️
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.20.0
app_file: app.py
pinned: false
license: mit
tags:
  - gregg-shorthand
  - handwriting-recognition
  - ocr
  - stenography
  - historical-documents
  - computer-vision
  - pytorch
models:
  - a0a7/gregg-recognition

Gregg Shorthand Recognition Space

This is an interactive demo for recognizing Gregg shorthand notation from images.

How to Use

Upload an image containing Gregg shorthand notation and submit

Model Information

This demo uses the Gregg Recognition model trained specifically for Gregg shorthand notation. The model combines:

Convolutional Neural Networks (CNN) for feature extraction
Long Short-Term Memory (LSTM) networks for sequence modeling
Advanced pattern recognition techniques
Specialized preprocessing for shorthand symbols

Technical Details

Model Type: Image-to-Text Recognition
Architecture: CNN-LSTM with Pattern Database
Input Size: 256x256 pixels
Framework: PyTorch
Preprocessing: Grayscale conversion, normalization

Repository

Source code and model details: GitHub Repository