OCR not behaving well on clean image | tessaract

[boyapally srikanth]

I have been working on project which involves extracting text from an image. I have researched that tesseract is one of the best libraries available and I decided to use the same along with opencv. Opencv is needed for image manipulation.

I have been playing a lot with tessaract engine and it does not seems to be giving the expected results to me. I have attached the sample image as an reference. Output I got is:

1] =501 [

Instead, expected output is

TM10-50%L

What I have done so far:

• Remove noise
• Adaptive threshold
• Sending it tesseract ocr engine

Are there any other suggestions to improve the algorithm?

Thanks in advance.

Snippet of the code:

import cv2

import sys

import pytesseract

 import numpy as np

 from PIL import Image

 if __name__ == '__main__': i

     f len(sys.argv) < 2:

          print('Usage: python ocr_simple.py image.jpg')

          sys.exit(1)

     # Read image path from command line

     imPath = sys.argv[1]

     gray = cv2.imread(imPath, 0)

     # Blur

      blur = cv2.GaussianBlur(gray,(9,9), 0)

     # Binarizing thres = cv2.adaptiveThreshold(blur, 255,   cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 5, 3)

     text = pytesseract.image_to_string(thresh)

     print(text)

[Zdenko Podobny]

You need to crop text area:

tesseract 6itc_cleanup_cropped.jpg - --dpi 300
TH10-50%L

Zdenko

ut 10. 5. 2022 o 14:12 boyapally srikanth <srikanthbo...@gmail.com> napísal(a):

--
You received this message because you are subscribed to the Google Groups "tesseract-ocr" group.
To unsubscribe from this group and stop receiving emails from it, send an email to tesseract-oc...@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/73c2c2e1-431b-4343-9bb8-091286065159n%40googlegroups.com.