├── TextImage.png
├── TextImage2.png
└── main.py


/TextImage.png:
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https://raw.githubusercontent.com/rafigeovazi/NWord-Classifier/main/TextImage.png


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/TextImage2.png:
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https://raw.githubusercontent.com/rafigeovazi/NWord-Classifier/main/TextImage2.png


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/main.py:
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 1 | import cv2
 2 | import numpy as np
 3 | import pytesseract
 4 | from PIL import ImageGrab
 5 | 
 6 | pytesseract.pytesseract.tesseract_cmd = r'C:/Program Files/Tesseract-OCR/tesseract.exe'
 7 | 
 8 | def detect_and_highlight_N(image):
 9 |     rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
10 |     boxes = pytesseract.image_to_boxes(rgb)
11 | 
12 |     h, w, _ = image.shape
13 | 
14 |     for b in boxes.splitlines():
15 |         b = b.split()
16 |         char = b[0]
17 |         x, y, x2, y2 = int(b[1]), int(b[2]), int(b[3]), int(b[4])
18 | 
19 |         y = h - y
20 |         y2 = h - y2
21 | 
22 |         if char.upper() == "N":
23 |             cv2.rectangle(image, (x, y2), (x2, y), (255, 255, 255), -1)
24 |             cv2.putText(image, "N", (x - 10, y - 5), cv2.FONT_HERSHEY_COMPLEX, 2.5, (0, 0, 0), 5)
25 | 
26 |     return image
27 | 
28 | while True:
29 |     img = np.array(cv2.imread("TextImage.png"))
30 |     processed_img = detect_and_highlight_N(img)
31 | 
32 |     cv2.imshow("Text Detection (Highlight N)", processed_img)
33 | 
34 |     if cv2.waitKey(1) & 0xFF == ord('q'):
35 |         break
36 | 
37 | cv2.destroyAllWindows()
38 | 


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