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I have python code which does OCR for one tiff file and prints result in python window. I have more number of tiff files in a directory, it will take more hours to OCR all images one by one using my code.

Since I'm a beginner, I'm getting error while adding 'for' loop in code

import cv2
import numpy as np
import pytesseract
from PIL import Image

# Path of working folder on Disk
src_path = "D:/OpenCV and Tesseract/Image Split/Test 1/"

def get_string(img_path):
    # Read image with opencv
    img = cv2.imread(img_path)

    # Convert to gray
    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

    # Apply dilation and erosion to remove some noise
    kernel = np.ones((1, 1), np.uint8)
    img = cv2.dilate(img, kernel, iterations=1)
    img = cv2.erode(img, kernel, iterations=1)

    # Write image after removed noise
    cv2.imwrite(src_path + "removed_noise.png", img)

    #  Apply threshold to get image with only black and white
    #img = cv2.adaptiveThreshold(img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 2)

    # Write the image after apply opencv to do some ...
    cv2.imwrite(src_path + "thres.png", img)

    # Recognize text with tesseract for python
    result = pytesseract.image_to_string(Image.open(src_path + "thres.png"))

    # Remove template file
    #os.remove(temp)

    return result


print '--- Start recognize text from image ---'
print get_string(src_path + "21.tif")

print "------ Done -------"

Someone help me to modify the python code to do OCR for all images in a directory and store all text in a single .txt file line by line

Sarath SRK
  • 111
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0 Answers0