01918nas a2200229   4500000000100000000000100001008004100002260000800043653002000051653002600071653001200097653001800109653002100127100001500148700001600163700001000179700001800189245011400207490000700321520134600328022001401674       2022                            d  cjun10aShui manuscript10acharacter recognition10adataset10aDeep learning10atarget detection1 aMinli Tang1 aShaomin Xie1 aMu He1 aXiangrong Liu00aCharacter Recognition in Endangered Archives: Shui Manuscripts Dataset, Detection and Application Realization0 v123 aShui manuscripts provide a historical testimony of the national identity and spirit of the Shui people. In response to the lack of a high-quality Shui manuscripts dataset, we collected Shui manuscript images in the Shui area and used various methods to enhance them. Through our efforts, we created a well-labeled and sizable Shui manuscripts dataset, named Shuishu\_T, which is the largest of its kind. Then, we applied target detection technology for Shui manuscript characters recognition. Specifically, we compared the advantages and disadvantages of Faster R-CNN, you only look once (YOLO), and single shot multibox detector (SSD), and subsequently chose Faster R-CNN to detect and recognize Shui manuscript characters. We trained and tested 111 classes of Shui manuscript characters with Faster R-CNN and achieved an average recognition rate of 87.8\%. Finally, we designed a WeChat applet that can be used to quickly identify Shui manuscript characters in images obtained by scanning Shui manuscripts with a mobile phone. This work provides a basis for realizing the recognition of characters in Shui manuscripts on mobile terminals. Our research enables the intangible cultural heritage of the Shui people to be preserved, promoted, and shared, which is of great significance for the conservation and inheritance of Shui manuscripts.  a2076-3417