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Textract wrong detection based on a opencv made table

0

A table and embedded original images Hello everyone, I made a table using opencv and put some images of 97 in each of the table's grids. The 97 image itself can be detected, and if I only put one 97 in the top left, it also can be detected. However, with the above table, all 97 will be detected as L6. I tried different size and distance but none seems to work. Can someone please provide me a hint or help? Many thanks in advance!

Temas
Aprendizaje automático e IA
Etiquetas
Amazon Textract
Idioma
English
ocrtest
preguntada hace 8 meses207 visualizaciones
1 Respuesta
0

Doesn't look like a real use case. The L6 seems to indicate that Textract identified the image to be rotated 180 degrees. You can verify that using: https://github.com/aws-samples/amazon-textract-response-parser/blob/master/src-python/README.md#page-orientation-in-degrees

You should get better accuracy with documents that resemble a more realistic use case.

AWS
Martin Schade _AWS_
respondido hace 8 meses
  • ocrtest
    hace 8 meses

    Hi Martin,

    Thank you for your quick response! Could you explain a bit more what it means by saying "Doesn't look like a real use case"? And what could be the reason and solution for the issue that Textract detects this table as 180 degrees rotated? Some other numbers I put in work well though. Thanks again!

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