cremma-16-17-print
By HTR-United
Easter2
Easter2.0: IMPROVING CONVOLUTIONAL MODELS FOR HANDWRITTEN TEXT RECOGNITION (by kartikgill)
cremma-16-17-print | Easter2 | |
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1 | 1 | |
0 | 73 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | about 1 year ago | |
XSLT | Jupyter Notebook | |
Creative Commons Zero v1.0 Universal | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cremma-16-17-print
Posts with mentions or reviews of cremma-16-17-print.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-09.
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What would you love to see in a modern edition of a 16th-century work?
I would also recommend to look into OCR and the progress in this area, at least to help you kickstart the trancription. Simon Gabay at Geneva is leading a project where they host eScriptorium, and their results are quite good. I have produced myself some data for Latin ( https://github.com/HTR-United/cremma-16-17-print ) and, except for some rare characters, the results are more than promising (much more than what Abbyy can do).
Easter2
Posts with mentions or reviews of Easter2.
We have used some of these posts to build our list of alternatives
and similar projects.
-
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
What are some alternatives?
When comparing cremma-16-17-print and Easter2 you can also consider the following projects:
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.
kraken - OCR engine for all the languages