ssghule/Optical-Character-Recognition-using-Hidden-Markov-Models
This project aims to recognize text from images using Hidden Markov Models and Viterbi algorithm
No commits in the last 6 months.
Stars
14
Forks
4
Language
Python
License
—
Category
Last pushed
Dec 31, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ssghule/Optical-Character-Recognition-using-Hidden-Markov-Models"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
breezedeus/CnSTD
CnSTD: 基于 PyTorch/MXNet 的 中文/英文 场景文字检测（Scene Text Detection）、数学公式检测（Mathematical Formula...
felixdittrich92/OnnxTR
OnnxTR a docTR (Document Text Recognition) library Onnx pipeline wrapper - for seamless,...
JaidedAI/EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin,...
mindee/doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for...
githubharald/SimpleHTR
Handwritten Text Recognition (HTR) system implemented with TensorFlow.