Update ocr_engine.py

ocr_engine.py

@@ -9,23 +9,19 @@ def extract_weight_from_image(pil_img):
     try:
         img = np.array(pil_img)
 
-        # Convert to grayscale
+        # Preprocessing
         gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
-
-        # Resize to make characters larger
-        resized = cv2.resize(gray, None, fx=2, fy=2, interpolation=cv2.INTER_CUBIC)
-
-        # Apply blur and threshold to improve text clarity
-        blurred = cv2.GaussianBlur(resized, (5, 5), 0)
+        resized = cv2.resize(gray, None, fx=2.5, fy=2.5, interpolation=cv2.INTER_CUBIC)
+        blurred = cv2.GaussianBlur(resized, (3, 3), 0)
         _, thresh = cv2.threshold(blurred, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
 
-        # OCR detection
+        # OCR
         result = reader.readtext(thresh, detail=0)
         combined_text = " ".join(result)
-        print("OCR Text:", combined_text)
+        print("OCR Result:", combined_text)
 
-        # Use regex to extract weight like 52.30, 002.50 etc.
-        match = re.search(r"\b\d{1,4}\.?\d{0,2}\b", combined_text)
+        # Improve regex to only match numbers with optional decimal
+        match = re.search(r"\b(?:\d{1,3}\.?\d{1,2}|\d{1,4})\b", combined_text)
         if match:
             return match.group(), 95.0
         else: