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An HOCR output #4

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@cphmine

Sir, inspired by your tutorial and other references I tried with HOCR output, but 3 things is pulling me back from final output.

  1. Removal of black scattered dust between text
  2. Extra thickness of font , it needs to be thinned
  3. HOCR output is not generating from multiple TIFF images, i was able to generate as single page wise.
    How do you suggest me on this.

`# Python program to extract text from all the images in a folder

storing the text in corresponding files in a different folder

This is for hocr output, but there is error of getting only 1 page

from PIL import Image
import pytesseract as pt
import os
pt.pytesseract.tesseract_cmd = r'C:\Users\admin\AppData\Local\Programs\Tesseract-OCR\tesseract.exe'

def main():
# path for the folder for getting the raw images
path ="D:\input"

# path for the folder for getting the output
tempPath ="D:\\output\"

# iterating the images inside the folder
for imageName in os.listdir(path):
		
	inputPath = os.path.join(path, imageName)
	img = Image.open(inputPath)

#config =('--oem 3--psm 6')

	# applying ocr using pytesseract for python

#custom_config = r'--oem 3 --psm 6'
#text=pt.image_to_string(img, config=custom_config)

	text = pt.image_to_pdf_or_hocr(img, extension = 'hocr', config = (r'--oem 3 --psm 6'), lang ="eng")

	# for removing the .jpg from the imagePath
	#imagePath = imagePath[0:-4]

	fullTempPath = os.path.join(tempPath, 'time_'+imageName+".hocr")
	print(text)

	# saving the text for every image in a separate .txt file
	file1 = open(fullTempPath, "wb")
	file1.write(text)
	file1.close()

if name == 'main':
main()

`

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