add global threashold

app.py

@@ -26,7 +26,7 @@ def analyse():
     equalized = clahe.apply(blur)
 
 # Optional: Apply thresholding or other preprocessing techniques
-# _, thresh_image = cv2.threshold(gray_image, 150, 255, cv2.THRESH_BINARY)
+    _, thresh_image = cv2.threshold(equalized, 150, 255, cv2.THRESH_BINARY)
 
 # Use pytesseract to extract text
     results = reader.readtext(equalized)
@@ -35,6 +35,7 @@ def analyse():
         results_array.append(f"Detected text: {text} (Confidence: {prob})")
 
 # Iterate through the results and format them
+    #cv2.imshow("threash", thresh_image)
     #cv2.imshow("clahe", equalized)
     #cv2.imshow("blur", blur)
     #cv2.imshow("orig", gray_image)