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 <
tareshchaudh...@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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