tesseract-ocrHow can I use Tesseract OCR to recognize math formulas?
Tesseract OCR can be used to recognize math formulas using a combination of image preprocessing and Tesseract's math_ocr mode.
- Image Preprocessing:
- Preprocessing the image is important for improving Tesseract's OCR accuracy. This includes binarization, noise removal, deskewing, etc.
- Tesseract Math_OCR Mode:
- Tesseract's math_ocr mode is designed to recognize math formulas. It is important to set the correct page segmentation mode for math_ocr to work correctly.
Example code
import cv2
import pytesseract
# Read image
image = cv2.imread('formula.png')
# Preprocess image
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]
# Run Tesseract OCR with math_ocr mode
pytesseract.pytesseract.tesseract_cmd = r"C:\Program Files\Tesseract-OCR\tesseract.exe"
result = pytesseract.image_to_string(thresh, lang="math_ocr", config="--psm 11")
print(result)
Output example
y = \frac{1}{2}x^2 + 3x + 4
Helpful links
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