Alicia Aglio-Caballero, Belén Ríos-Sánchez, C. S. Ávila, Maria Jose Melcon De Giles
{"title":"Analysis of local binary patterns and uniform local binary patterns for palm vein biometric recognition","authors":"Alicia Aglio-Caballero, Belén Ríos-Sánchez, C. S. Ávila, Maria Jose Melcon De Giles","doi":"10.1109/CCST.2017.8167808","DOIUrl":null,"url":null,"abstract":"Palm vein recognition has emerged as a novelty highly invariant biometric technique that is difficult to forge due to their internal nature. In this work the texture descriptors Local Binary Patterns (LBP) and Uniform Local Binary Patterns (LBPU) are analyzed as feature extraction methods for biometric verification based on palm veins. Their performance and efficiency has been studied through a multivariate analysis including the impact of different wavelengths and the parameters of the texture descriptor number of neighboors and radio. CASIA Multi-Spectral Palmprint Image Database V1.0 has been used for the evaluation of the system.","PeriodicalId":371622,"journal":{"name":"2017 International Carnahan Conference on Security Technology (ICCST)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Carnahan Conference on Security Technology (ICCST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCST.2017.8167808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Palm vein recognition has emerged as a novelty highly invariant biometric technique that is difficult to forge due to their internal nature. In this work the texture descriptors Local Binary Patterns (LBP) and Uniform Local Binary Patterns (LBPU) are analyzed as feature extraction methods for biometric verification based on palm veins. Their performance and efficiency has been studied through a multivariate analysis including the impact of different wavelengths and the parameters of the texture descriptor number of neighboors and radio. CASIA Multi-Spectral Palmprint Image Database V1.0 has been used for the evaluation of the system.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
