Easter2
handprint
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Easter2 | handprint | |
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1 | 2 | |
73 | 157 | |
- | 1.9% | |
0.0 | 0.0 | |
about 1 year ago | over 1 year ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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Easter2
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Researchers Propose Easter2.0, a Novel Convolutional Neural Network CNN-Based Architecture for the Task of End-to-End Handwritten Text Line Recognition that Utilizes Only 1D Convolutions
Continue reading | Checkout the paper and github link
handprint
- Python Testing 1
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Ask HN: What’s a good solution for handwriting recognition of messy handwriting?
I found an interesting solution from caltech: https://github.com/caltechlibrary/handprint
Also it seems the keyword to find models and apis for this is “handwritten text recognition.”
What are some alternatives?
Handwritten-Text-Recognition - As part of the project we examine several approaches for recognizing text in images and predicting the whole digital text. All aproaches follow the method to break the image down into the smaller parts like lines, words or characters.
colabctl - Google Colaboratory background/task executioner & controller.
kraken - OCR engine for all the languages
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
iam-crnn-ctc-recognition - IAM Dataset Handwriting Recognition Using CRNN, CTC Loss, DeepSpeech Beam Search, And KenLM Scorer
pyspeedinsights - Measure your site speed, performance, accessibility and SEO in bulk from the command line with Python and the PageSpeed Insights API.
GAM - command line management for Google Workspace [Moved to: https://github.com/GAM-team/GAM]
amazon-textract-response-parser - Parse JSON response of Amazon Textract
ml_kit_app - A Flutter mobile app to read data from business cards and save that data in phone book using OCR, ML and NLP.