{"title":"基于LBP和不同表示的掌纹识别","authors":"Yang Zhao, Wei Jia, Rongxiang Hu, Jie Gui","doi":"10.1109/ICHB.2011.6094301","DOIUrl":null,"url":null,"abstract":"In this paper, a new Local Binary Pattern (LBP) and Local Ternary Pattern (LBP) based palmprint identification method is proposed. In our method, LBP or LTP descriptor is applied to the energy or direction representations of palmprint extracted by the modified finite radon transformation (MFRAT). Experimental results obtained from the Hong Kong Polytechnic University (PolyU) Palmprint Database demonstrate that the proposed method has higher identification rates than other LBP based methods.","PeriodicalId":378764,"journal":{"name":"2011 International Conference on Hand-Based Biometrics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Palmprint Identification Using LBP and Different Representations\",\"authors\":\"Yang Zhao, Wei Jia, Rongxiang Hu, Jie Gui\",\"doi\":\"10.1109/ICHB.2011.6094301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new Local Binary Pattern (LBP) and Local Ternary Pattern (LBP) based palmprint identification method is proposed. In our method, LBP or LTP descriptor is applied to the energy or direction representations of palmprint extracted by the modified finite radon transformation (MFRAT). Experimental results obtained from the Hong Kong Polytechnic University (PolyU) Palmprint Database demonstrate that the proposed method has higher identification rates than other LBP based methods.\",\"PeriodicalId\":378764,\"journal\":{\"name\":\"2011 International Conference on Hand-Based Biometrics\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Hand-Based Biometrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICHB.2011.6094301\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Hand-Based Biometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHB.2011.6094301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Palmprint Identification Using LBP and Different Representations
In this paper, a new Local Binary Pattern (LBP) and Local Ternary Pattern (LBP) based palmprint identification method is proposed. In our method, LBP or LTP descriptor is applied to the energy or direction representations of palmprint extracted by the modified finite radon transformation (MFRAT). Experimental results obtained from the Hong Kong Polytechnic University (PolyU) Palmprint Database demonstrate that the proposed method has higher identification rates than other LBP based methods.