'Extraction text as csv from scanned pdf file using tesseract
enter image description hereI need help to extract text from scanned pdf. I have tried to extract it using pymupdf and pillow and pytesseract, but I am not getting correct results, there are some text are returned incorrectly. I tried to increase sharpness and brightness but still did not get a good result.
I have already checked many answers using OpenCV, but I am fairly new to OpenCV. Please help.
def pdf_to_text(pdf_file,text_file_name,rotate_pdf=False,adj_sharpness=False,adj_contract=False,adj_brightness=False):
try:
doc = fitz.open(pdf_file)
zoom_x=2.5
zoom_y=2.5
mat = fitz.Matrix(zoom_x,zoom_y)
files = []
for n in range(doc.page_count):
#print(f'Extracting {n} image')
page = doc.load_page(n)
if rotate_pdf:
page.set_rotation(-90)
#pix = page.get_pixmap(dpi=600)
pix = page.get_pixmap(alpha=False,matrix=mat,dpi=300)
folder=os.path.join(os.getcwd(),"images")
if not os.path.exists(folder):
os.makedirs(folder)
fname = os.path.join(folder,"page-%i.png"%n)
pix.save(fname)
im = Image.open(fname)
im = adjust_sharpness(im,2.5)
im = adjust_brightness(im,1.1)
im = adjust_contrast(im,2.8)
#im = im.filter(ImageFilter.SMOOTH)
im.save(fname)
#remove_lines(fname)
files.append(fname)
#if n>1:
# break
print("Extracting Images Completed")
print("Now Extracting data from image file")
for file in files:
#file = "./images/page-0.png"
text = image_to_string(file, lang_code="eng")
#text = image_to_string(file, lang_code="fra+eng")
make_textfile(text, text_file_name)
print("Extracting and saving text files completed")
except FileNotFoundError:
print(f"File not available {pdf_file}")
return None
pytesseract.image_to_string(image=Image.open(image_name))
The image:
Solution 1:[1]
To process tables in Tesseract you are likely to need to remove table lines to help the OCR engine with the segmentation of the image. However, you may try this first to see how Tesseract will perform.
text = image_to_data(file, lang="eng", config="--psm 6")
This will treat your image as a block to avoid missing as much text as possible, but removing the lines and binarizing the image will lead to better results. This link would help you with the removal of lines.
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Esraa Abdelmaksoud |

