diff --git a/configs/rec/rec_d28_can.yml b/configs/rec/rec_d28_can.yml
index 2149100da556057e2dda967109d6e59d44dc1c42..7c3b0fd3d60368d196837826c252301fb5f3b59e 100644
--- a/configs/rec/rec_d28_can.yml
+++ b/configs/rec/rec_d28_can.yml
@@ -66,7 +66,6 @@ Loss:
 
 PostProcess:
   name: CANLabelDecode
-  character_dict_path: ppocr/utils/dict/latex_symbol_dict.txt
 
 Metric:
   name: CANMetric
@@ -76,6 +75,7 @@ Train:
   dataset:
     name: SimpleDataSet
     data_dir: ./train_data/CROHME/training/images/
+    label_file_list: ["./train_data/CROHME/training/labels.txt"]
     transforms:
       - DecodeImage:
           channel_first: False
@@ -86,11 +86,9 @@ Train:
       - GrayImageChannelFormat: 
           inverse: True
       - CANLabelEncode:
-          character_dict_path: ppocr/utils/dict/latex_symbol_dict.txt
           lower: False
       - KeepKeys:
           keep_keys: ['image', 'label']
-    label_file_list: ["./train_data/CROHME/training/labels.txt"]
   loader:
     shuffle: True
     batch_size_per_card: 8
@@ -102,6 +100,7 @@ Eval:
   dataset:
     name: SimpleDataSet
     data_dir: ./train_data/CROHME/evaluation/images/
+    label_file_list: ["./train_data/CROHME/evaluation/labels.txt"]
     transforms: 
       - DecodeImage:
           channel_first: False
@@ -112,11 +111,9 @@ Eval:
       - GrayImageChannelFormat:
           inverse: True
       - CANLabelEncode:
-          character_dict_path: ppocr/utils/dict/latex_symbol_dict.txt
           lower: False
       - KeepKeys:
           keep_keys: ['image', 'label']
-    label_file_list: ["./train_data/CROHME/evaluation/labels.txt"]
   loader:
     shuffle: False
     drop_last: False
diff --git a/ppocr/modeling/backbones/rec_densenet.py b/ppocr/modeling/backbones/rec_densenet.py
index b9fab765b267278d8125b489344b617f0d142d70..65c5fa4f245f9825ce8c728db487e8888b5bc3c6 100644
--- a/ppocr/modeling/backbones/rec_densenet.py
+++ b/ppocr/modeling/backbones/rec_densenet.py
@@ -11,6 +11,11 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+"""
+This code is refer from:
+https://github.com/LBH1024/CAN/models/densenet.py
+
+"""
 
 from __future__ import absolute_import
 from __future__ import division
diff --git a/test_tipc/configs/rec_d28_can/rec_d28_can.yml b/test_tipc/configs/rec_d28_can/rec_d28_can.yml
index 92917c20d6c8186204b3b142dbbaeb3aafbb5edb..5501865863fa498cfcf9ed401bfef46654ef23b0 100644
--- a/test_tipc/configs/rec_d28_can/rec_d28_can.yml
+++ b/test_tipc/configs/rec_d28_can/rec_d28_can.yml
@@ -66,7 +66,6 @@ Loss:
 
 PostProcess:
   name: CANLabelDecode
-  character_dict_path: ppocr/utils/dict/latex_symbol_dict.txt
 
 Metric:
   name: CANMetric
@@ -76,6 +75,7 @@ Train:
   dataset:
     name: SimpleDataSet
     data_dir: ./train_data/CROHME_lite/training/images/
+    label_file_list: ["./train_data/CROHME_lite/training/labels.txt"]
     transforms:
       - DecodeImage:
           channel_first: False
@@ -86,11 +86,9 @@ Train:
       - GrayImageChannelFormat: 
           inverse: True
       - CANLabelEncode:
-          character_dict_path: ppocr/utils/dict/latex_symbol_dict.txt
           lower: False
       - KeepKeys:
           keep_keys: ['image', 'label']
-    label_file_list: ["./train_data/CROHME_lite/training/labels.txt"]
   loader:
     shuffle: True
     batch_size_per_card: 8
@@ -102,6 +100,7 @@ Eval:
   dataset:
     name: SimpleDataSet
     data_dir: ./train_data/CROHME_lite/evaluation/images/
+    label_file_list: ["./train_data/CROHME_lite/evaluation/labels.txt"]
     transforms: 
       - DecodeImage:
           channel_first: False
@@ -112,11 +111,9 @@ Eval:
       - GrayImageChannelFormat:
           inverse: True
       - CANLabelEncode:
-          character_dict_path: ppocr/utils/dict/latex_symbol_dict.txt
           lower: False
       - KeepKeys:
           keep_keys: ['image', 'label']
-    label_file_list: ["./train_data/CROHME_lite/evaluation/labels.txt"]
   loader:
     shuffle: False
     drop_last: False