Update app.py

app.py

@@ -20,22 +20,22 @@ try:
 except Exception as e:
     logging.error(f"Tesseract not found or misconfigured: {str(e)}")
 
-# Image Preprocessing function
+# Improved Image Preprocessing function
 def preprocess_image(img_cv):
     """Enhance the image to improve OCR performance."""
     try:
+        # Convert to grayscale
         gray = cv2.cvtColor(img_cv, cv2.COLOR_BGR2GRAY)
         
-        # Contrast enhancement using CLAHE
-        clahe = cv2.createCLAHE(clipLimit=5.0, tileGridSize=(8, 8))
-        contrast = clahe.apply(gray)
-        
-        # Applying Gaussian blur
+        # Increase contrast
+        contrast = cv2.equalizeHist(gray)
+
+        # Apply Gaussian blur to reduce noise
         blurred = cv2.GaussianBlur(contrast, (5, 5), 0)
         
-        # Adaptive thresholding
+        # Adaptive thresholding for binarization
         thresh = cv2.adaptiveThreshold(blurred, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 11, 2)
-        
+
         # Sharpening the image
         sharpened = cv2.filter2D(thresh, -1, np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]]))
         
@@ -54,7 +54,11 @@ def extract_weight(img):
         
         img_cv = cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR)
         processed_img = preprocess_image(img_cv)
-        
+
+        # Show processed image for debugging
+        debug_img = Image.fromarray(processed_img)
+        debug_img.show()
+
         # Tesseract configuration to extract digits and decimals
         custom_config = r'--oem 3 --psm 6 -c tessedit_char_whitelist=0123456789.'