I want to extract text data from the image, however not sure what approach I should take.
Steps successfully performed
- Dataset collection
- Image Preprocessing done
- Image Augmentation done
- Final Image data set prepared
- Train, Test Split done
- Annotation done (table and paragraph)
- Convolution Model (faster rcnn resnet50)
- Model performing well in identifying table and paragraph
- Cropped detection boxex image sections
Confused with further step, I want to do text segmentation and pass it to tesseract. Not able to find good example from tensorflow or Open CV
I tried solution 1 from Kaggle https://www.kaggle.com/code/irinaabdullaeva/text-segmentation not getting desired result
I tried solution 2 from kaggle https://www.kaggle.com/code/dmitryyemelyanov/receipt-ocr-part-1-image-segmentation-by-opencv not getting desired result
I am attaching my output, wanted to know if my approach to work on text segmentation after 9 steps above is correct ?? or I need to take some other approach.
I want to pass segmented text to tesseract for text extraction.