added markdown document for ocr engine comparison #577
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| * **Bad**, because increases support complexity with multiple engines | ||
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| ### Confirmation | ||
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Elaborate on how this is done. I would assume that you have the 100+ PDFs at hand and wrote a test suite?
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No, i wrote this in advance assuming that I will have that many tested later on, but I deleted that section now. Looking at the level of detail and sophistication of the other markdowns (very little) I decided it's not needed.
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An ADR can also have TODOs and links to existing drafts of the test suite.
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| * Current implementation uses Tesseract 4.x with LSTM engine | ||
| * In benchmarks, Google Cloud Vision shows the highest overall accuracy | ||
| * Handwriting (categories 2 & 3) is the main differentiator among engines |
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Where are these catorgies mentioned?
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Same as above, deleted this section
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| The web resources that informed this ADR: | ||
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| 1. <https://www.mdpi.com/2073-8994/12/5/715> |
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Link that to each pro/con agrument
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Did that.
see JabRef/jabref#13573
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| # ADR-002: OCR Engine Selection for JabRef | |||
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Try to follow the format given at JabRef's repo - and place it in the JabRef folder. https://github.com/JabRef/jabref/tree/main/docs/decisions
I think, this is AI generated, because I cannot explain otherwise why A) this takes number 0002 - and in the heading.
(And does not follow the MADR format)
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I adjusted the format a little bit, but it was already very similar to the other md files in the folder. I restructured the heading a little bit to make it even more similar.
See the new PR here: JabRef/jabref#13573
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should go to devdocs: jabref/docs/decisions |
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Follow-up PR is JabRef/jabref#13573 Therefore, I close this one. |
This is related to gsoc ocr project by Kaan Erdem.
JabRef/jabref#13313