aws-samples / aws-samples/amazon-textract-code-samples

Textract Analyze document for Tables issue

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Descripción

Hi,

I found an issue while extracting tables from a document using Analyze. My Textract OCR identified proper table with correct Bbox. Now, If I am using the same info and trying to extract text, I am missing some information. Here are the samples for that.

Below Image is the cropped image which I got using Bbox info from textract ocr output.
![temp_crop](https://github.com/aws-samples/amazon-textract-code-samples/assets/31265978/ef35d9dd-d148-46e5-a403-a5600348806d)

Analyze Document output (after some postprocessing like including markdowns) : "**\n\n | n pricing | ¥10,000/ton of CO2, utilized in our investment decision-making, awards program, etc. |\n|---|---|\n| of climate change issues into of executives | Attainment of "promoting sustainability," including climate change-relat initiatives. reflected in performance-linked remuneration |**"

If you observe the image and output clearly, I am getting missed "**Internal Carbo**" in first row and "**Incorporation**" and "**Remuneration**" in second row of 1st cell.

For this, I tried to apply canvas with the page size from which I fetched the table and created below image. Still it is giving me same output.

![temp_crop (1)](https://github.com/aws-samples/amazon-textract-code-samples/assets/31265978/c68f3695-3a94-487b-bb61-ec1a4fc30ea1)

Now, I went ahead and tried to add thresholding and got this image as an output.
![temp_crop (2)](https://github.com/aws-samples/amazon-textract-code-samples/assets/31265978/5f8b8683-0cde-44da-a394-37b0f455026b)

Interestingly, this provided proper output - "**\n\n | Internal carbon pricing | ¥10,000/ton of CO2, utilized in our investment decision-making, awards program, etc. |\n|---|---|\n| Incorporation of climate change issues into remuneration of executives | Attainment of "promoting sustainability," including climate change-related initiatives, reflected in performance-linkeo remuneration |**"

Here is the way, I created sample threshold -
_, binary_image = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY)

But there will be problem with colored images, the solution which I proposed won't work as it makes things worst.

This is the issue I found and the some hack, If there is anything interesting rather than this please feel free to post the solution.
I ask AWS team to have a look over and fix this issue.

Guía de contribución

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Línea de trabajo

No se nombra ningún archivo ni prueba del repositorio. Empieza reproduciendo el resultado de Amazon Textract Analyze Document a partir de las muestras de tablas adjuntas y, después, compara las entradas y salidas originales y thresholded de OpenCV. Se considerará terminado cuando haya una causa confirmada o un fix fiable y documentado que también tenga en cuenta las imágenes en color.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
aws, opencv, python
Área
cloud, computer-vision
Tipo de issue
Error
Dificultad
5/5
Tiempo estimado
Más de una semana
Estado de actividad
Estancado
Claridad
Necesita aclaración
Aptitud para principiantes
25/100

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