OK thanks
في الجمعة، ٢٠ ديسمبر ٢٠٢٤، ١٠:٠٨ ص Taresh Chaudhari <
tareshchaudh...@gmail.com> كتب:
> HI,
> Sure, can we connect tomorrow around 11:30 am IST at Google meet. My Id
> is "tareshchaudh...@gmail.com".
>
>
> On Wednesday, 11 December 2024 at 18:53:17 UTC+5:30 mahmoud...@gmail.com
> wrote:
>
>> Hello I want make or generated with you a simple file trainddata by
>> jtessboxeditor for Tesseract and test it can you inform me time to discuss
>> The steps. Thanks
>>
>> في الثلاثاء، ٢٦ نوفمبر ٢٠٢٤، ٥:٠١ م Taresh Chaudhari <
>> tareshc...@gmail.com> كتب:
>>
>>> Thanks Mahmoud for sharing. I did apply these techniques, but still
>>> results are not good and still trying to solve this problem. Let me see how
>>> does it proceed.
>>>
>>> On Tuesday, 26 November 2024 at 00:31:29 UTC+5:30 mahmoud...@gmail.com
>>> wrote:
>>>
>>>> To improve the accuracy of text extraction, you can preprocess the
>>>> image before passing it to the OCR engine. Preprocessing techniques like
>>>> converting the image to grayscale, enhancing contrast, or applying filters
>>>> can help reduce noise and improve readability. Additionally, tweaking the
>>>> pytesseract settings like changing the --psm value may also improve the
>>>> results.
>>>>
>>>> Here’s an updated version of your code with some preprocessing steps:
>>>> import pytesseract
>>>> from PIL import Image, ImageEnhance, ImageFilter
>>>>
>>>> pytesseract.pytesseract.tesseract_cmd =
>>>> 'C:\\Users\\M562765\\AppData\\Local\\Programs\\Tesseract-OCR\\tesseract.exe'
>>>>
>>>> # Path to your image
>>>> image_path = 'C:/Users/M562765/Downloads/Unable-images/Unable/crop1.jpg'
>>>>
>>>> def extract_text_from_image(image_path):
>>>> # Open the image
>>>> img = Image.open(image_path)
>>>>
>>>> # Convert the image to grayscale to improve text-background contrast
>>>> img = img.convert('L') # Convert image to grayscale
>>>> img = ImageEnhance.Contrast(img).enhance(2) # Increase contrast
>>>> img = img.filter(ImageFilter.SHARPEN) # Sharpen the image
>>>>
>>>> # Use pytesseract to extract text
>>>>
>>>>
>>>> extracted_text = pytesseract.image_to_string(img, config='--psm
>>>> 6') # PSM 6 assumes a block of text
>>>> return extracted_text.strip()
>>>>
>>>> # Extract and print text
>>>> text = extract_text_from_image(image_path)
>>>> print(f"Text extracted from {image_path}: {text}")
>>>>
>>>> في الاثنين، ٢٥ نوفمبر ٢٠٢٤، ٤:١٢ م Taresh Chaudhari <
>>>> tareshc...@gmail.com> كتب:
>>>>
>>>>> Attaching a image for reference.
>>>>>
>>>>> On Monday, 25 November 2024 at 15:52:27 UTC+5:30 Taresh Chaudhari
>>>>> wrote:
>>>>>
>>>>>> Hi,
>>>>>> I am trying to read the characters from the image, which has
>>>>>> characters with black color in the background. Attaching the code which i
>>>>>> used to extract, currently its giving the partial output. Can you help me
>>>>>> to guide how to make it accurate?
>>>>>>
>>>>>>
>>>>>> import pytesseract
>>>>>> from PIL import Image
>>>>>> pytesseract.pytesseract.tesseract_cmd =
>>>>>> 'C:\\Users\\M562765\\AppData\\Local\\Programs\\Tesseract-OCR\\tesseract.exe'
>>>>>> # Paths to your images
>>>>>> image_paths = [
>>>>>> 'C:/Users/M562765/Downloads/Unable-images/Unable/crop1.jpg']
>>>>>>
>>>>>> # Function to process an image and extract text
>>>>>> def extract_text_from_image(image_path):
>>>>>> # Open the image
>>>>>> img = Image.open(image_path)
>>>>>>
>>>>>> # Use pytesseract to perform OCR
>>>>>> extracted_text = pytesseract.image_to_string(img, config='--psm
>>>>>> 6') # PSM 6 assumes a block of text
>>>>>> return extracted_text.strip()
>>>>>>
>>>>>> # Process all images and print results
>>>>>> for img_path in image_paths:
>>>>>> text = extract_text_from_image(img_path)
>>>>>> print(f"Text extracted from {img_path}: {text}")
>>>>>>
>>>>> --
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>>>>> To view this discussion visit
>>>>> https://groups.google.com/d/msgid/tesseract-ocr/83985355-a349-4ed7-a2a9-c938fda1a5f4n%40googlegroups.com
>>>>> <https://groups.google.com/d/msgid/tesseract-ocr/83985355-a349-4ed7-a2a9-c938fda1a5f4n%40googlegroups.com?utm_medium=email&utm_source=footer>
>>>>> .
>>>>>
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>> To view this discussion visit
>>> https://groups.google.com/d/msgid/tesseract-ocr/050091bf-ff93-4907-8f8d-74c06edd9f3en%40googlegroups.com
>>> <https://groups.google.com/d/msgid/tesseract-ocr/050091bf-ff93-4907-8f8d-74c06edd9f3en%40googlegroups.com?utm_medium=email&utm_source=footer>
>>> .
>>>
>> --
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