diff --git a/configs/table/SLANet.yml b/configs/table/SLANet.yml
index 46cc22d0a6205d191eeddf682ef7f6614c346402..105fb5fad287ba014a16c1138f5f9a3a25ad609f 100644
--- a/configs/table/SLANet.yml
+++ b/configs/table/SLANet.yml
@@ -58,6 +58,7 @@ Loss:
 
 PostProcess:
   name: TableLabelDecode
+  merge_no_span_structure: &merge_no_span_structure False
 
 Metric:
   name: TableMetric
@@ -77,7 +78,7 @@ Train:
           channel_first: False
       - TableLabelEncode:
           learn_empty_box: False
-          merge_no_span_structure: False
+          merge_no_span_structure: *merge_no_span_structure
           replace_empty_cell_token: False
           loc_reg_num: *loc_reg_num
           max_text_length: *max_text_length
@@ -112,7 +113,7 @@ Eval:
           channel_first: False
       - TableLabelEncode:
           learn_empty_box: False
-          merge_no_span_structure: False
+          merge_no_span_structure: *merge_no_span_structure
           replace_empty_cell_token: False
           loc_reg_num: *loc_reg_num
           max_text_length: *max_text_length
diff --git a/configs/table/table_master.yml b/configs/table/table_master.yml
index 1844c3197c7aef785a18cc38f79f6a174fa867e3..1f50d20bfa4b2f3b28a6375580529e25f24aaa2d 100755
--- a/configs/table/table_master.yml
+++ b/configs/table/table_master.yml
@@ -8,7 +8,7 @@ Global:
   eval_batch_step: [0,  6259]
   cal_metric_during_train: true
   pretrained_model: null
-  checkpoints: 
+  checkpoints:
   save_inference_dir: output/table_master/infer
   use_visualdl: false
   infer_img: ppstructure/docs/table/table.jpg
@@ -61,6 +61,7 @@ Loss:
 PostProcess:
   name: TableMasterLabelDecode
   box_shape: pad
+  merge_no_span_structure: &merge_no_span_structure True
 
 Metric:
   name: TableMetric
@@ -79,7 +80,7 @@ Train:
           channel_first: False
       - TableMasterLabelEncode:
           learn_empty_box: False
-          merge_no_span_structure: True
+          merge_no_span_structure: *merge_no_span_structure
           replace_empty_cell_token: True
           loc_reg_num: *loc_reg_num
           max_text_length: *max_text_length
@@ -115,7 +116,7 @@ Eval:
           channel_first: False
       - TableMasterLabelEncode:
           learn_empty_box: False
-          merge_no_span_structure: True
+          merge_no_span_structure: *merge_no_span_structure
           replace_empty_cell_token: True
           loc_reg_num: *loc_reg_num
           max_text_length: *max_text_length
diff --git a/ppocr/data/imaug/label_ops.py b/ppocr/data/imaug/label_ops.py
index 1c1fc00be755ea237d603ceab8721734b2386f5b..ce539dcea9608762f725e5a3ae501e384360d04d 100644
--- a/ppocr/data/imaug/label_ops.py
+++ b/ppocr/data/imaug/label_ops.py
@@ -587,6 +587,12 @@ class TableLabelEncode(AttnLabelEncode):
                 line = line.decode('utf-8').strip("\n").strip("\r\n")
                 dict_character.append(line)
 
+        if self.merge_no_span_structure:
+            if "<td></td>" not in dict_character:
+                dict_character.append("<td></td>")
+            if "<td>" in dict_character:
+                dict_character.remove("<td>")
+
         dict_character = self.add_special_char(dict_character)
         self.dict = {}
         for i, char in enumerate(dict_character):
diff --git a/ppocr/postprocess/table_postprocess.py b/ppocr/postprocess/table_postprocess.py
index ce254f314318b1d663841c4a0ab2c4439a9a1572..a47061f935e31b24fdb624df170f8abb38e01f40 100644
--- a/ppocr/postprocess/table_postprocess.py
+++ b/ppocr/postprocess/table_postprocess.py
@@ -21,8 +21,28 @@ from .rec_postprocess import AttnLabelDecode
 class TableLabelDecode(AttnLabelDecode):
     """  """
 
-    def __init__(self, character_dict_path, **kwargs):
-        super(TableLabelDecode, self).__init__(character_dict_path)
+    def __init__(self,
+                 character_dict_path,
+                 merge_no_span_structure=False,
+                 **kwargs):
+        dict_character = []
+        with open(character_dict_path, "rb") as fin:
+            lines = fin.readlines()
+            for line in lines:
+                line = line.decode('utf-8').strip("\n").strip("\r\n")
+                dict_character.append(line)
+
+        if merge_no_span_structure:
+            if "<td></td>" not in dict_character:
+                dict_character.append("<td></td>")
+            if "<td>" in dict_character:
+                dict_character.remove("<td>")
+
+        dict_character = self.add_special_char(dict_character)
+        self.dict = {}
+        for i, char in enumerate(dict_character):
+            self.dict[char] = i
+        self.character = dict_character
         self.td_token = ['<td>', '<td', '<td></td>']
 
     def __call__(self, preds, batch=None):
@@ -122,8 +142,13 @@ class TableLabelDecode(AttnLabelDecode):
 class TableMasterLabelDecode(TableLabelDecode):
     """  """
 
-    def __init__(self, character_dict_path, box_shape='ori', **kwargs):
-        super(TableMasterLabelDecode, self).__init__(character_dict_path)
+    def __init__(self,
+                 character_dict_path,
+                 box_shape='ori',
+                 merge_no_span_structure=True,
+                 **kwargs):
+        super(TableMasterLabelDecode, self).__init__(character_dict_path,
+                                                     merge_no_span_structure)
         self.box_shape = box_shape
         assert box_shape in [
             'ori', 'pad'