I have this image, and I'm trying to read it with Tesseract:
My code is like that:
pytesseract.image_to_string(im)
But, what I get is only LOW: 56. So, Tesseract is unable to read the 1 in the first line. I've tried to specify also a whitelist of only digits like
pytesseract.image_to_string(im, config="tessedit_char_whitelist=0123456789.")
and to process the image with an erosion but nothing works. Any suggestions?
Improving the quality of the output is your "holy scripture" when working with Tesseract. Especially, the page segmentation method should always be explicitly set. Here (as most of the times), I'd opt for --psm 6:
Assume a single uniform block of text.
Even without further preprocessing of your image, you already get the desired result:
import cv2
import pytesseract
image = cv2.imread('gBrcd.png')
text = pytesseract.image_to_string(image, config='--psm 6')
print(text.replace('\f', ''))
# 1
# LOW: 56
----------------------------------------
System information
----------------------------------------
Platform: Windows-10-10.0.19041-SP0
Python: 3.9.1
PyCharm: 2021.1.1
OpenCV: 4.5.2
pytesseract: 5.0.0-alpha.20201127
----------------------------------------
Related
My code is:
import cv2,numpy
import pytesseract
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe" # For Windows OS
def scan(image):
try:
img = cv2.cvtColor(numpy.array(image), cv2.COLOR_RGB2BGR)
except:
img = cv2.imread(image)
# Apply OCR
data = pytesseract.image_to_string(img, config="-c tessedit"
"_char_whitelist=1234567890"
" --psm 6"
" ")
return data
And when I make it scan this image it just gives me ''. Nothing. I don't know whats wrong, works on every other digit number, what should I change? If you have some python ocr that works on this image, you can also send it.
Using Tesseract or any OCR can get really tricky. The pictures you mentioned worked perfectly might have better quality or are closely related to the dataset version you are using in your code/computer.
Some basic steps you can do to improve this are:
Add a new trained data file that has similar font to the font you are trying to detect
Do some preprocessing on the image, sharpen it, change resolution and color, basically the whole routine till you find the perfect mix
Try a different OCR
Let me know if this works!
Read the documentation, understand what are you doing and you will get the correct result. Hint: pretending that the single character is a uniform block of text is not wise.
Your picture works for me. My guess is that you didn't successfully read the image? You can debug by print(img.shape) or if img is None: print('None'). Python might be operating in a different directory. os.getcwd() gets Pythons current working directory. You can also do os.path.isfile(image) to see if Python can find file where you are looking.
This is what I tried:
import cv2,numpy
import pytesseract
# ~ pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe" # For Windows OS
img = cv2.imread('niner.png')
# Apply OCR
data = pytesseract.image_to_string(img, config="-c tessedit"
"_char_whitelist=1234567890"
" --psm 6"
" ")
print('tesseract version: ', pytesseract.get_tesseract_version())
print('=============================================')
print(data)
and the result is:
tesseract version: 4.0.0.20181030
leptonica-1.76.0
libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 1.5.3) : libpng 1.6.34 : libtiff 4.0.9 : zlib 1.2.11 : libwebp 0.6.1 : libopenjp2 2.2.0
=============================================
9
♀
I am on Windows 10, and I try to extract digits from this image
with the pytesseract library with language lets (cf. https://github.com/adrianlazaro8/Tesseract_sevenSegmentsLetsGoDigital or LetsGoDigital, cf. https://github.com/arturaugusto/display_ocr).
I preprocessed my image (grey, threshold and erosion) to get:
But the output of
pytesseract.image_to_string(img, lang='lets')
is empty.
You didn't set any specific page segmentation method. I'd opt for --psm 6 here:
Assume a single uniform block of text.
So, even without further pre-processing I get the proper result:
import cv2
import pytesseract
img = cv2.imread('RcVbM.jpg')
text = pytesseract.image_to_string(img, lang='lets', config='--psm 6')
print(text.replace('\n', '').replace('\f', ''))
# 004200
----------------------------------------
System information
----------------------------------------
Platform: Windows-10-10.0.19041-SP0
Python: 3.9.1
PyCharm: 2021.1.1
OpenCV: 4.5.2
pytesseract: 5.0.0-alpha.20201127
----------------------------------------
I am trying to ready Energy Efficiency Rating from EPC certificate using python. Usually EPC certificate comes in PDF format. I have converted PDF into image already and using pytesseract to get text from image. However I am not getting expected results.
Sample Image:
Expected output:
Current rating : 79, Potential rating : 79
What I have tried so far:
from pdf2image import convert_from_path
import pytesseract
from PIL import Image
pages = convert_from_path(r'my_file.pdf', 500)
img =pages[0].save(r'F:\Freelancer\EPC rating\fwdepcs\out.jpg', 'JPEG')
text = pytesseract.image_to_string(Image.open(r'F:\Freelancer\EPC rating\fwdepcs\out.jpg'))
However text does not capture 79.
I also tried cv2 pattern matching and shape detection, but those not worked for other reasons.
You say that you have convert this pdf to image file.
Use PIL(.crop()) or opencv to crop picture.And crop it like this:
And use PIL Image.convert("1"),maybe tesseract can catch this number.
If not,I think you can use jTessBoxEditor to train tesseract.
I am currently facing a problem with pytesseract where the software is unable to detect a number in this image:
For some reason, pytesseract doesn't want to recognise digits in this image. Any suggestions? Here is my code:
import pytesseract
from PIL import ImageEnhance, ImageFilter, Image
img = r'/content/inv_thresh.png'
str = pytesseract.image_to_string(Image.open(img), lang='eng', \
config='--psm 8 --oem 3 -c tessedit_char_whitelist=0123456789')
It returns a string COTO
Why you specify --oem 3 (Default, based on what is available.)
Which model you use? Which tesseract version?
Tesseract expect clear image without artifacts to provide correct results => you will need better preprocess image.
I got following result with tessdata_best mode with recent tesseract (4.1/5.0alpha):
tesseract a9Uq4.png - --psm 8 --dpi 70
00308
I am using a combination of pyautogui and pytesseract to capture small regions on the screen and then pull the number/text out of the region. I have written script that has read the majority of captured images perfectly, but single digit numbers seem to cause an issue for it. For example small regions of an image containing numbers are saved to .png files the numbers 11, 14, and 18 were pulled perfectly, but the number 7 is just returning as a blank string.
Question: What could be causing this to happen?
Code: Scaled down drastically to make it every easy to follow:
def get_text(image):
return pytesseract.image_to_string(image)
answer2 = pyautogui.screenshot('answer2.png',region=(727, 566, 62, 48))
img = Image.open('answer2.png')
answer2 = get_text(img)
This code is repeated 4 times, once for each image, it worked for 11,14,18 but not for 7.
Just to slow the files being read here is a screenshot of the images after they were saved through the screenshot command.
https://gyazo.com/0acbf5be2d970abeb29561113c171fbe
here is a screenshot of what I am working from:
https://gyazo.com/311913217a1302382b700b07ad3e3439
I found question Why pytesseract does not recognise single digits? and in comments I found option --psm 6.
I checked tesseract with option --psm 6 and it can recognize single digit on your image.
tesseract --psm 6 number-7.jpg result.txt
I checked pytesseract.image_to_string() with option config='--psm 6' and it can recognize single digit on your image too.
#!/usr/bin/env python3
from PIL import Image
import pytesseract
img = Image.open('number-7.jpg')
print(pytesseract.image_to_string(img, config='--psm 6'))