training the layout/segmentation/word detection engine

[amit...@gmail.com]

I want to optimise tesseract 4 (lstm) for a set of documents I have.

I managed to improve its character recognition using the documentation in https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.

However, some words are not just detected. usually words inside tables. 

Even using --psm 6, some are missed.

Is there a way to train the layout/segmentation/word detection engine and not just the character recognition?

[Zdenko Podobny]

Try this:

https://github.com/Sintun/PersonalHelperPrograms/blob/master/Tesseract/tess.cpp

Longer story:

https://github.com/tesseract-ocr/tesseract/issues/1714  

Zdenko

st 1. 7. 2020 o 10:29 amit...@gmail.com <amit...@gmail.com> napísal(a):

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[Amit Man]

I couldn't find there anything to do with improving words detection.

Am I missing something?

On Wednesday, July 1, 2020 at 12:45:36 PM UTC+3, zdenop wrote:

Try this:

https://github.com/Sintun/PersonalHelperPrograms/blob/master/Tesseract/tess.cpp

Longer story:

https://github.com/tesseract-ocr/tesseract/issues/1714  

Zdenko

st 1. 7. 2020 o 10:29 amit...@gmail.com <ami...@gmail.com> napísal(a):

I want to optimise tesseract 4 (lstm) for a set of documents I have.

I managed to improve its character recognition using the documentation in https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.

However, some words are not just detected. usually words inside tables. 

Even using --psm 6, some are missed.

Is there a way to train the layout/segmentation/word detection engine and not just the character recognition?

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