diff --git a/OCR/googleOCR.py b/OCR/googleOCR.py
index 17653c3..9f41d18 100644
--- a/OCR/googleOCR.py
+++ b/OCR/googleOCR.py
@@ -198,6 +198,10 @@ def text_pointer(uri, x, y):
     words = []
 
     for i, text in enumerate(texts):
+
+        if i == 0: # 사진 내 전체 문자는 제외해야함
+            continue
+
         print(f"Image Size: {img_width} x {img_height}")
         word = text.description
         print('word:', word)
@@ -217,6 +221,7 @@ def text_pointer(uri, x, y):
         print('hand y :', y)
 
         for vertex in text.bounding_poly.vertices :
+
             print('vertex x :',vertex.x)
             print('vertex y :',vertex.y)
             x_set.add(vertex.x)
@@ -247,8 +252,8 @@ def text_pointer(uri, x, y):
             print('min_x, x, max_x', min_x, x, max_x)
             print('max_y y', max_y, y)
             # print("거리 : math.sqrt((abs(x - mid_x) ** 2) + (abs(y - mid_y) ** 2))" )
-            # words.append((word, math.sqrt((abs(x - mid_x) ** 2) + (abs(y - mid_y) ** 2)))) # (단어, 단어의 가운데 좌표 값과 손 좌표 간 거리)
-            words.append((word, abs(y - max_y) + abs(x - mid_x)))
+            words.append((word, math.sqrt((abs(x - mid_x) ** 2) + (abs(y - mid_y) ** 2)))) # (단어, 단어의 가운데 좌표 값과 손 좌표 간 거리)
+            #words.append((word, abs(y - max_y) + abs(x - mid_x)))
 
 
     words.sort(key=lambda x: x[1]) # 손과 가장 가까운 단어를 반환
diff --git a/OCR/handLandmark.py b/OCR/handLandmark.py
index ec05245..e23b621 100644
--- a/OCR/handLandmark.py
+++ b/OCR/handLandmark.py
@@ -132,7 +132,7 @@ def get_finger_coordinate(uri):
             handYset.add(value.y)
 
         #min_x = max(handXset)
-        min_y = max(handYset)
+        min_y = min(handYset)
 
         right_hand_x_coordinate = int(detection_result.hand_landmarks[0][8].x * image_shape[1])
         right_hand_y_coordinate = int(min_y * image_shape[0])