0x454447415244/HandwritingRecognitionSystem

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

51
/ 100
Established

This system helps researchers and academics digitize handwritten text from images of historical documents. It takes an image containing handwritten lines as input and produces a plain text transcription of those lines. This is ideal for historians, archivists, or anyone working with digitized historical records who needs to convert handwritten content into searchable text.

457 stars. No commits in the last 6 months.

Use this if you need to accurately transcribe handwritten text from images of historical documents, especially when you have limited labeled data for training.

Not ideal if you need to transcribe modern handwriting, cursive, or text from everyday photographs, as this is specifically designed for historical documents.

historical-documents archival-research text-digitization digital-humanities paleography
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

457

Forks

138

Language

Python

License

Last pushed

Aug 22, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/0x454447415244/HandwritingRecognitionSystem"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.