diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py
index 192f6f4..0c9692e 100644
--- a/src/eynollah/eynollah.py
+++ b/src/eynollah/eynollah.py
@@ -3182,26 +3182,9 @@ class Eynollah:
             num_col = num_col + 1
             if not num_column_is_classified:
                 num_col_classifier = num_col + 1
-            if self.num_col_upper and self.num_col_lower:
-                if self.num_col_upper == self.num_col_lower:
-                    num_col_classifier = self.num_col_upper
-                else:
-                    if num_col_classifier < self.num_col_lower:
-                        num_col_classifier = self.num_col_lower
-                    if num_col_classifier > self.num_col_upper:
-                        num_col_classifier = self.num_col_upper
-                        
-            elif self.num_col_lower and not self.num_col_upper:
-                if num_col_classifier < self.num_col_lower:
-                    num_col_classifier = self.num_col_lower
-                    
-            elif self.num_col_upper and not self.num_col_lower:
-                if num_col_classifier > self.num_col_upper:
-                    num_col_classifier = self.num_col_upper
-                    
-            else:
-                pass
-                
+            num_col_classifier = min(self.num_col_upper or num_col_classifier,
+                                     max(self.num_col_lower or num_col_classifier,
+                                         num_col_classifier))
         except Exception as why:
             self.logger.error(why)
             num_col = None
diff --git a/src/eynollah/utils/__init__.py b/src/eynollah/utils/__init__.py
index 243430e..f8926cf 100644
--- a/src/eynollah/utils/__init__.py
+++ b/src/eynollah/utils/__init__.py
@@ -1675,9 +1675,9 @@ def return_boxes_of_images_by_order_of_reading_new(
                 peaks_neg_fin=[]
                 num_col = 0
             try:
-                peaks_neg_fin_org=np.copy(peaks_neg_fin)
                 if (len(peaks_neg_fin)+1)<num_col_classifier or num_col_classifier==6:
                     #print('burda')
+                    peaks_neg_fin_org = np.copy(peaks_neg_fin)
                     if len(peaks_neg_fin)==0:
                         num_col, peaks_neg_fin = find_num_col(
                             regions_without_separators[splitter_y_new[i]:splitter_y_new[i+1], :],