diff --git a/doc/doc_ch/FAQ.md b/doc/doc_ch/FAQ.md
index 531d649178..0be1b50534 100644
--- a/doc/doc_ch/FAQ.md
+++ b/doc/doc_ch/FAQ.md
@@ -186,10 +186,6 @@ A: 由于我们所提供的识别模型是基于通用大规模数据集进行
 
 A：可以看下训练的尺度和预测的尺度是否相同，如果训练的尺度为[3, 32, 320]，预测的尺度为[3, 64, 640]，则会有比较多的重复识别现象。
 
-#### Q: 如何识别招牌或者广告图中的艺术字？
-
-**A**: 招牌或者广告图中的艺术字是文本识别一个非常有挑战性的难题，因为艺术字中的单字和印刷体相比，变化非常大。如果需要识别的艺术字是在一个词典列表内，可以将该每个词典认为是一个待识别图像模板，通过通用图像检索识别系统解决识别问题。可以尝试使用PaddleClas的图像识别系统PP-shituV2。
-
 #### Q: 图像正常识别出来的文字是OK的，旋转90度后识别出来的结果就比较差，有什么方法可以优化？
 
 **A**: 	整图旋转90之后效果变差是有可能的，因为目前PPOCR默认输入的图片是正向的； 可以自己训练一个整图的方向分类器，放在预测的最前端（可以参照现有方向分类器的方式），或者可以基于规则做一些预处理，比如判断长宽等等。
diff --git a/doc/doc_en/FAQ_en.md b/doc/doc_en/FAQ_en.md
index 5b08842765..b28e342065 100644
--- a/doc/doc_en/FAQ_en.md
+++ b/doc/doc_en/FAQ_en.md
@@ -51,6 +51,8 @@ Solution: TPS does not support variable shape. Please set --rec_image_shape='3,3
 11. **Custom dictionary used during training, the recognition results show that words do not appear in the dictionary**  
 The used custom dictionary path is not set when making prediction. The solution is setting parameter `rec_char_dict_path` to the corresponding dictionary file.
 
-
 12. **Results of cpp_infer and python_inference are very different**  
 Versions of exported inference model and inference library should be same. For example, on Windows platform, version of the inference library that PaddlePaddle provides is 1.8, but version of the inference model that PaddleOCR provides is 1.7, you should export model yourself(`tools/export_model.py`) on PaddlePaddle 1.8 and then use the exported model for inference.
+
+13. **How to identify artistic fonts in signs or advertising images**  
+Recognizing artistic fonts in signs or advertising images is a very challenging task because the variation in individual characters is much greater compared to standard fonts. If the artistic font to be identified is within a dictionary list, each word in the dictionary can be treated as a template for recognition using a general image retrieval system. You can try using PaddleClas image recognition system.