{"title":"嵌入式手写满文字母识别系统的设计与实现*","authors":"Min Li, Rui-rui Zheng, Shuang Xu, Fang Wang","doi":"10.1109/ICISCAE.2018.8666844","DOIUrl":null,"url":null,"abstract":"On the basis of building the handwritten Manchu letter library, the paper studies the structural characteristics of the Manchu letters, puts forward the design scheme of the embedded handwritten Manchu letter recognition system and has completed the system design. In the system, taking the Keil 5 software as the development platform and the C language as programming language, the driver programs of the touch screen, SRAM module and SD card are developed. The algorithms including the handwritten input acquisition, the optimized preprocessing, feature extraction, LDA dimension reduction and nearest neighbor classification are programmed also. The overall circuit of the system is designed with Altium Designer 9 software. After testing, the system completed all the functions, and has the features of friendly interface, easy operation, low cost and realtime strong.","PeriodicalId":129861,"journal":{"name":"2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Implementation of Embedded Handwritten Manchu Letter Recognition System*\",\"authors\":\"Min Li, Rui-rui Zheng, Shuang Xu, Fang Wang\",\"doi\":\"10.1109/ICISCAE.2018.8666844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"On the basis of building the handwritten Manchu letter library, the paper studies the structural characteristics of the Manchu letters, puts forward the design scheme of the embedded handwritten Manchu letter recognition system and has completed the system design. In the system, taking the Keil 5 software as the development platform and the C language as programming language, the driver programs of the touch screen, SRAM module and SD card are developed. The algorithms including the handwritten input acquisition, the optimized preprocessing, feature extraction, LDA dimension reduction and nearest neighbor classification are programmed also. The overall circuit of the system is designed with Altium Designer 9 software. After testing, the system completed all the functions, and has the features of friendly interface, easy operation, low cost and realtime strong.\",\"PeriodicalId\":129861,\"journal\":{\"name\":\"2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISCAE.2018.8666844\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCAE.2018.8666844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Implementation of Embedded Handwritten Manchu Letter Recognition System*
On the basis of building the handwritten Manchu letter library, the paper studies the structural characteristics of the Manchu letters, puts forward the design scheme of the embedded handwritten Manchu letter recognition system and has completed the system design. In the system, taking the Keil 5 software as the development platform and the C language as programming language, the driver programs of the touch screen, SRAM module and SD card are developed. The algorithms including the handwritten input acquisition, the optimized preprocessing, feature extraction, LDA dimension reduction and nearest neighbor classification are programmed also. The overall circuit of the system is designed with Altium Designer 9 software. After testing, the system completed all the functions, and has the features of friendly interface, easy operation, low cost and realtime strong.