diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py
index 976634f..55b9bfd 100644
--- a/src/eynollah/eynollah.py
+++ b/src/eynollah/eynollah.py
@@ -1714,8 +1714,8 @@ class Eynollah:
         mask_images_only=(prediction_regions_org[:,:] ==2)*1
 
         polygons_seplines, hir_seplines = return_contours_of_image(mask_lines_only)
-        polygons_seplines = textline_con_fil = filter_contours_area_of_image(
-            mask_lines_only, polygons_seplines, hir_seplines, max_area=1, min_area=0.00001)
+        polygons_seplines = filter_contours_area_of_image(
+            mask_lines_only, polygons_seplines, hir_seplines, max_area=1, min_area=0.00001, dilate=1)
 
         polygons_of_only_texts = return_contours_of_interested_region(mask_texts_only,1,0.00001)
         polygons_of_only_lines = return_contours_of_interested_region(mask_lines_only,1,0.00001)
@@ -1909,7 +1909,7 @@ class Eynollah:
                 #plt.show()
 
             polygons_seplines = filter_contours_area_of_image(
-                mask_lines_only, polygons_seplines, hir_seplines, max_area=1, min_area=0.00001)
+                mask_lines_only, polygons_seplines, hir_seplines, max_area=1, min_area=0.00001, dilate=1)
 
             test_khat = np.zeros(prediction_regions_org.shape)
             test_khat = cv2.fillPoly(test_khat, pts = polygons_seplines, color=(1,1,1))
@@ -2022,7 +2022,7 @@ class Eynollah:
 
             polygons_seplines, hir_seplines = return_contours_of_image(mask_lines_only)
             polygons_seplines = filter_contours_area_of_image(
-                mask_lines_only, polygons_seplines, hir_seplines, max_area=1, min_area=0.00001)
+                mask_lines_only, polygons_seplines, hir_seplines, max_area=1, min_area=0.00001, dilate=1)
 
             polygons_of_only_texts = return_contours_of_interested_region(mask_texts_only, 1, 0.00001)
             polygons_of_only_lines = return_contours_of_interested_region(mask_lines_only, 1, 0.00001)
@@ -2071,7 +2071,7 @@ class Eynollah:
 
             polygons_seplines, hir_seplines = return_contours_of_image(mask_lines_only)
             polygons_seplines = filter_contours_area_of_image(
-                mask_lines_only, polygons_seplines, hir_seplines, max_area=1, min_area=0.00001)
+                mask_lines_only, polygons_seplines, hir_seplines, max_area=1, min_area=0.00001, dilate=1)
 
             polygons_of_only_texts = return_contours_of_interested_region(mask_texts_only,1,0.00001)
             polygons_of_only_lines = return_contours_of_interested_region(mask_lines_only,1,0.00001)
diff --git a/src/eynollah/utils/contour.py b/src/eynollah/utils/contour.py
index 11f6490..fb1e790 100644
--- a/src/eynollah/utils/contour.py
+++ b/src/eynollah/utils/contour.py
@@ -332,12 +332,12 @@ def return_contours_of_interested_region_by_size(region_pre_p, pixel, min_area,
     return img_ret[:, :, 0]
 
 def dilate_textline_contours(all_found_textline_polygons):
-    return [[polygon2contour(contour2polygon(contour, dilate=5))
+    return [[polygon2contour(contour2polygon(contour, dilate=6))
              for contour in region]
             for region in all_found_textline_polygons]
 
 def dilate_textregion_contours(all_found_textline_polygons):
-    return [polygon2contour(contour2polygon(contour, dilate=5))
+    return [polygon2contour(contour2polygon(contour, dilate=6))
             for contour in all_found_textline_polygons]
 
 def contour2polygon(contour: Union[np.ndarray, Sequence[Sequence[Sequence[Number]]]], dilate=0):