{"title":"基于统一局部二值模式(ULBP)和颜色直方图的印尼民族识别","authors":"Tiani Tiara Putri, Ema Rachmawati, F. Sthevanie","doi":"10.1109/ICICoS51170.2020.9299103","DOIUrl":null,"url":null,"abstract":"Ethnicity is one of identity every human has and can be used to categorize individuals in populations or large groups. We presented an Indonesian ethnicity recognition based on facial images using Uniform Local Binary Pattern (ULBP) and Color Histogram as a feature extraction method. We used the five largest ethnic groups in Indonesia, namely Sundanese, Javanese, Banjar, Buginese, and Malay. In the experiment, we used Random Forest as a classification method. The research obtained a performance accuracy of 98.25% using 2290 facial images.","PeriodicalId":122803,"journal":{"name":"2020 4th International Conference on Informatics and Computational Sciences (ICICoS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Indonesian Ethnicity Recognition Based on Face Image Using Uniform Local Binary Pattern (ULBP) and Color Histogram\",\"authors\":\"Tiani Tiara Putri, Ema Rachmawati, F. Sthevanie\",\"doi\":\"10.1109/ICICoS51170.2020.9299103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ethnicity is one of identity every human has and can be used to categorize individuals in populations or large groups. We presented an Indonesian ethnicity recognition based on facial images using Uniform Local Binary Pattern (ULBP) and Color Histogram as a feature extraction method. We used the five largest ethnic groups in Indonesia, namely Sundanese, Javanese, Banjar, Buginese, and Malay. In the experiment, we used Random Forest as a classification method. The research obtained a performance accuracy of 98.25% using 2290 facial images.\",\"PeriodicalId\":122803,\"journal\":{\"name\":\"2020 4th International Conference on Informatics and Computational Sciences (ICICoS)\",\"volume\":\"90 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th International Conference on Informatics and Computational Sciences (ICICoS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICoS51170.2020.9299103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th International Conference on Informatics and Computational Sciences (ICICoS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICoS51170.2020.9299103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Indonesian Ethnicity Recognition Based on Face Image Using Uniform Local Binary Pattern (ULBP) and Color Histogram
Ethnicity is one of identity every human has and can be used to categorize individuals in populations or large groups. We presented an Indonesian ethnicity recognition based on facial images using Uniform Local Binary Pattern (ULBP) and Color Histogram as a feature extraction method. We used the five largest ethnic groups in Indonesia, namely Sundanese, Javanese, Banjar, Buginese, and Malay. In the experiment, we used Random Forest as a classification method. The research obtained a performance accuracy of 98.25% using 2290 facial images.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
