diff --git a/deepface/commons/functions.py b/deepface/commons/functions.py
index 025617c..68e834a 100644
--- a/deepface/commons/functions.py
+++ b/deepface/commons/functions.py
@@ -188,23 +188,26 @@ def preprocess_face(img, target_size=(224, 224), grayscale = False, enforce_dete
 	#resize image to expected shape
 
 	# img = cv2.resize(img, target_size) #resize causes transformation on base image, adding black pixels to resize will not deform the base image
-
-	factor_0 = target_size[0] / img.shape[0]
-	factor_1 = target_size[1] / img.shape[1]
-	factor = min(factor_0, factor_1)
-
-	dsize = (int(img.shape[1] * factor), int(img.shape[0] * factor))
-	img = cv2.resize(img, dsize)
-
-	# Then pad the other side to the target size by adding black pixels
-	diff_0 = target_size[0] - img.shape[0]
-	diff_1 = target_size[1] - img.shape[1]
-	if grayscale == False:
-		# Put the base image in the middle of the padded image
-		img = np.pad(img, ((diff_0 // 2, diff_0 - diff_0 // 2), (diff_1 // 2, diff_1 - diff_1 // 2), (0, 0)), 'constant')
-	else:
-		img = np.pad(img, ((diff_0 // 2, diff_0 - diff_0 // 2), (diff_1 // 2, diff_1 - diff_1 // 2)), 'constant')
-
+	
+	if img.shape[0] > 0 and img.shape[1] > 0:
+		factor_0 = target_size[0] / img.shape[0]
+		factor_1 = target_size[1] / img.shape[1]
+		factor = min(factor_0, factor_1)
+		
+		dsize = (int(img.shape[1] * factor), int(img.shape[0] * factor))
+		img = cv2.resize(img, dsize)
+		
+		# Then pad the other side to the target size by adding black pixels
+		diff_0 = target_size[0] - img.shape[0]
+		diff_1 = target_size[1] - img.shape[1]
+		if grayscale == False:
+			# Put the base image in the middle of the padded image
+			img = np.pad(img, ((diff_0 // 2, diff_0 - diff_0 // 2), (diff_1 // 2, diff_1 - diff_1 // 2), (0, 0)), 'constant')
+		else:
+			img = np.pad(img, ((diff_0 // 2, diff_0 - diff_0 // 2), (diff_1 // 2, diff_1 - diff_1 // 2)), 'constant')
+	
+	#------------------------------------------
+	
 	#double check: if target image is not still the same size with target.
 	if img.shape[0:2] != target_size:
 		img = cv2.resize(img, target_size)