pytesseract using tesseract 4.0 numbers only not working

tesseract not recognizing numbers
tesseract numbers only
tesseract ocr
pytesseract config
tesseract psm
install tesseract
nameerror name 'pytesseract' is not defined
image preprocessing for improving ocr accuracy python

Any one tried to get numbers only calling the latest version of tesseract 4.0 in python?

The below worked in 3.05 but still returns characters in 4.0, I tried removing all config files but the digits file and still didn't work; any help would be great:

im is an image of a date, black text white background:

import pytesseract
im =  imageOfDate
im = pytesseract.image_to_string(im, config='outputbase digits')

You can specify the numbers in the tessedit_char_whitelist as below as a config option.

ocr_result = pytesseract.image_to_string(image, lang='eng', boxes=False, \
           config='--psm 10 --oem 3 -c tessedit_char_whitelist=0123456789')

Hope this help.

Python Tesseract OCR: Recognize only numbers and exclude other , I will give 3 solution to extract only numbers with PyTesseract. Python Tesseract 4.0 OCR: Recognize only numbers / digits and exclude all After some googleing I found the problem in a GitHub issue: Until Tesseract 3 the� The Ubuntu package sources only contains tesseract version 4.0.0-beta.1. If you can't upgrade and don't want to use the legacy mode, try to build a simple black- or whitelist function if you are using tesseract with a wrapper in another programming language.

Using tessedit_char_whitelist flags with pytesseract did not work for me. However, one workaround is to use a flag that works, which is config='digits':

import pytesseract
text = pytesseract.image_to_string(pixels, config='digits')

where pixels is a numpy array of your image (PIL image should also work). This should force your pytesseract into returning only digits. Now, to customize what it returns, find your digits configuration file, on Windows mine was located here:

C:\Program Files (x86)\Tesseract-OCR\tessdata\configs

Open the digits file and add whatever characters you want. After saving and running pytesseract, it should return only those customized characters.

python: pytesseract using tesseract 4.0 numbers only not working, Any one tried to get numbers only calling the latest version of tesseract 4.0 in python?The below worked in 3.05 but still returns characters in� The final step before using pytesseract for OCR is to write the pre-processed image, gray , to disk saving it with the filename from above (Line 34). We can finally apply OCR to our image using the Tesseract Python “bindings”:

As you can see in this GitHub issue, the blacklist and whitelist doesn't work with tesseract version 4.0.

There are 3 possible solutions for this problem, as I described in this blog article:

  1. Update tesseract to version > 4.1
  2. Use the legacy mode as described in the answer from @thewaywewere
  3. Create a python function which uses a simple regex to extract all numbers:

    def replace_chars(text):
        list_of_numbers = re.findall(r'\d+', text)
        result_number = ''.join(list_of_numbers)
        return result_number
    result_number = pytesseract.image_to_string(im)

Pytesseract - only digits : computervision, How can I ask tesseract to give "only digits" output. I am using tesseract ocr 4 Pytesseract does not have the option to whitelist characters with the LSTM model � Defaults to eng if not specified! Example for multiple languages: lang='eng+fra' config String - Any additional custom configuration flags that are not available via the pytesseract function. For example: config='--psm 6' nice Integer - modifies the processor priority for the Tesseract run. Not supported on Windows.

You can specify the numbers in the tessedit_char_whitelist as below as a config option.

ocr_result = pytesseract.image_to_string(image, lang='eng',config='--psm 10 --oem 3 -c tessedit_char_whitelist=0123456789')

[Tutorial] OCR in Python with Tesseract, OpenCV and Pytesseract, Next-generation OCR engines deal with these problems mentioned at learning sequences but slow down a lot when the number of states is too large. tesseract 4.0.0 leptonica-1.76.0 libjpeg 9c : libpng 1.6.34 : libtiff 4.0.9� Fine tuning/incremental training will NOT be possible from these fast models, as they are 8-bit integer. When using the models in this repository, only the new LSTM-based OCR engine is supported. The legacy tesseract engine is not supported with these files, so Tesseract's oem modes '0' and '2' won't work with them. Two types of models

Default config of Tesseract unable to read number-only images , GitHub is home to over 50 million developers working together to host and With Tesseract, not only does the image quality matter, but font can matter in This has gotten better with Tesseract 4.0 over 3.05, but I'm inclined to� tessdata: The standard model that only works with Tesseract 4.0.0. Contains both legacy engine (--oem 0)and LSTM neural net based engine (--oem 1).

Blacklist and whitelist unsupported with LSTM (4.0) � Issue #751 , Blacklist and whitelist no longer work in 4.00alpha. article: return2 – Python Tesseract 4.0 OCR: Recognize only numbers / digits and exclude� Tesseract works fine (especially for word recognition) till I try to test it on a string of 14 or more digits. The result is inconsistent, getting only a few numbers right. I used the code below: var tesseract:G8Tesseract = G8Tesseract(l

pytesseract � PyPI, Python-tesseract is a python wrapper for Google's Tesseract-OCR. the image conversions of pytesseract, just use relative or absolute image path page numbers print(pytesseract.image_to_data('test.png'))) Add the following config, if you have tessdata error like: “Error opening data file… So we decided to try Tesseract 4.0 on windows and Tesseract 3.04 on Raspberry Pi. Simple Character Recognition Program on Pi. Since we have already installed the Tesseract OCR and Pytesseract packages in our PI. We can quickly write a small program to check how the character recognition is working with a test image.

  • Add image to the question for answerers to see your problem.
  • I went with… instead.
  • @CuriousGeorge: Did you find a solution to your upgrade problem?
  • "oem" in config argument is mistyped as "eom"
  • This solution doesn't work for tesseract 4.0+. There's an open issue related to this on GitHub:
  • Tried to fix the typo on May but somehow still showed --eom. Anyway, re-fixed it.
  • As Jakub mentioned it won't work with 4.0. Instead there is a separate tessdata file for digits
  • I'm looking for OCR for recognizing time. E.g. 11:25 . Adding a colon (:) to the whitelist didn't work. Any ideas?
  • what if I need text and digits ?
  • you can put both text and digits in the digits config file. For example, you could put '1234567890abcdefg...' and it will only return those alphanumeric characters.
  • Which version are you using ?? the method " config='digits' " doesen't wor for me im usin pytesseract==0.3.0
  • Works with the latest tesseract as of 2020
  • config=digits only do the whitelisting for numeric from alphanumeric input. How to treat an image as only numeric instead of alphanumeric, any ideas? Like treat l as one instead of L