{"title":"使用USB摄像头的韩文手写字母识别系统","authors":"Young-Joon Oh, Kwang-Hyun Park, Z. Bien","doi":"10.1109/ISITC.2007.64","DOIUrl":null,"url":null,"abstract":"Sign language is complex visual-spatial language most used in deaf society, and is a representative example of hand gesture with linguistic structure. Korean manual alphabet is a manual alphabet that augments the vowel and consonant of Korean sign language. This paper presents a system which recognizes the Korean manual alphabet (KMA) using a USB camera and translates into a normal Korean character. The system captures images from a camera and extracts skin color regions from an image, and finds a hand region. The system detects a hand without particular cloth in a complex background. We use 14 KMA hand shape as template images, and the system compares hand shape with template images using a correlation coefficient method.","PeriodicalId":394071,"journal":{"name":"2007 International Symposium on Information Technology Convergence (ISITC 2007)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Korean Manual Alphabet (KMA) Recognition System Using USB Camera\",\"authors\":\"Young-Joon Oh, Kwang-Hyun Park, Z. Bien\",\"doi\":\"10.1109/ISITC.2007.64\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sign language is complex visual-spatial language most used in deaf society, and is a representative example of hand gesture with linguistic structure. Korean manual alphabet is a manual alphabet that augments the vowel and consonant of Korean sign language. This paper presents a system which recognizes the Korean manual alphabet (KMA) using a USB camera and translates into a normal Korean character. The system captures images from a camera and extracts skin color regions from an image, and finds a hand region. The system detects a hand without particular cloth in a complex background. We use 14 KMA hand shape as template images, and the system compares hand shape with template images using a correlation coefficient method.\",\"PeriodicalId\":394071,\"journal\":{\"name\":\"2007 International Symposium on Information Technology Convergence (ISITC 2007)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Symposium on Information Technology Convergence (ISITC 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISITC.2007.64\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Information Technology Convergence (ISITC 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITC.2007.64","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Korean Manual Alphabet (KMA) Recognition System Using USB Camera
Sign language is complex visual-spatial language most used in deaf society, and is a representative example of hand gesture with linguistic structure. Korean manual alphabet is a manual alphabet that augments the vowel and consonant of Korean sign language. This paper presents a system which recognizes the Korean manual alphabet (KMA) using a USB camera and translates into a normal Korean character. The system captures images from a camera and extracts skin color regions from an image, and finds a hand region. The system detects a hand without particular cloth in a complex background. We use 14 KMA hand shape as template images, and the system compares hand shape with template images using a correlation coefficient method.