tesseract-ocrHow can I use Tesseract OCR to recognize handwriting?
Tesseract OCR is an open source tool for recognizing text from images. It can be used to recognize handwriting as well. Here is an example of how to use Tesseract OCR to recognize handwriting:
# import the necessary packages
from PIL import Image
import pytesseract
# load the example image and convert it to grayscale
image = Image.open('handwriting.png').convert('L')
# run tesseract, recognizing the handwritten text
text = pytesseract.image_to_string(image)
# print the recognized text
print(text)
Output example
This is some handwriting
The code above:
- Imports the necessary packages for Tesseract OCR.
- Loads the example image and converts it to grayscale.
- Runs Tesseract OCR to recognize the handwritten text.
- Prints the recognized text.
Helpful links
More of Tesseract Ocr
- How can I use Tesseract OCR with Visual Studio C++?
- How do I download the Tesseract OCR software from the University of Mannheim?
- How can I use Tesseract OCR to scan a QR code?
- How can I use Tesseract OCR to set the Page Segmentation Mode (PSM) for an image?
- How can I determine which file types are supported by Tesseract OCR?
- How do I configure the output format of tesseract OCR?
- How can I use Tesseract to perform zonal OCR?
- How do I add Tesseract OCR to my environment variables?
- How can I use Python to get the coordinates of words detected by Tesseract OCR?
- How can I use Tesseract OCR with Node.js?
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