I tried this method as well. I even tried performing some pre-processing to
the image to give tesseract a better idea of what's going on but its still
not working.
On Thursday, July 20, 2023 at 2:18:13 AM UTC-4 tomwi...@gmail.com wrote:
> The code you provided uses Tesseract OCR with a custom configuration (-l
> eng+equ) to recognize English and mathematical equations (equ) in the
> image. However, there is a small issue with the code –
> pytesseract.image_to_string() expects the image in PIL (Python Imaging
> Library) format, not OpenCV format (NumPy array).
>
> To fix the issue, you can convert the image from OpenCV format to PIL
> format before passing it to Tesseract. You can use the
> PIL.Image.fromarray() function to perform this conversion.
>
> Here's the updated code:
> pythonCopy code
> import pytesseract import cv2 from PIL import Image custom_config = r'-l
> eng+equ' img = cv2.imread("tessa.png") # Convert the image from OpenCV
> format (NumPy array) to PIL format pil_image = Image.fromarray(img) #
> Perform OCR using Tesseract and extract text from the image text =
> pytesseract.image_to_string(pil_image, config=custom_config) print(text)
>
> Make sure to replace "tessa.png" with the actual path to your image file.
>
> With this code, Tesseract OCR will attempt to recognize both English text
> and mathematical equations present in the image. The custom_config
> parameter with the value -l eng+equ instructs Tesseract to use the
> English and mathematical equation language data for recognition.
>
> Please note that while Tesseract is a powerful OCR engine, recognizing
> complex mathematical expressions accurately might be challenging. If you
> encounter issues with accuracy, consider using specialized OCR libraries or
> APIs that are designed specifically for math recognition.
> source: Chat gpt
> Vào lúc 04:55:05 UTC+7 ngày Thứ Tư, 19 tháng 7, 2023, kwmz...@gmail.com
> đã viết:
>
>> Hi everyone,
>>
>> I'm trying to use Tesseract to detect both the english part and the
>> mathematical part of the image below and it doesn't seem to work
>>
>> [image: tessa.png]
>>
>> The code I'm using is :
>>
>> *import pytesseract*
>> *import cv2*
>>
>> *custom_config = r'-l eng+equ'*
>>
>>
>> *img = cv2.imread("tessa.png")text = pytesseract.image_to_string(img,
>> config=custom_config,)print(text)*
>>
>> The output being produced is just (see below) without the mathematical
>> part even though I've used eng+equ
>> [image: Screenshot 2023-07-18 at 5.54.13 PM.png]
>>
>> Did anyone find a workaround for this or must I retrain tesseract?
>>
>> Regards,
>> Nash
>>
>
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