Textract Analyze document for Tables issue

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.

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.


Now, I went ahead and tried to add thresholding and got this image as an output.

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.

Không có tệp hoặc bài kiểm thử nào trong repository được nêu tên. Trước tiên, hãy tái hiện kết quả của Amazon Textract Analyze Document từ các mẫu bảng đính kèm, sau đó so sánh đầu vào và đầu ra OpenCV ban đầu với đầu vào và đầu ra thresholded. Công việc được xem là hoàn tất khi đã xác nhận được nguyên nhân hoặc có một fix đáng tin cậy, được tài liệu hóa và cũng tính đến các hình ảnh màu.

Do mô hình lập chỉ mục viết ra từ nội dung của issue.