R. Malutan, S. Emerich, S. Crisan, O. Pop, László Lefkovits
{"title":"基于Riesz小波变换和局部线二值模式的手背静脉识别","authors":"R. Malutan, S. Emerich, S. Crisan, O. Pop, László Lefkovits","doi":"10.1109/ICFSP.2017.8097159","DOIUrl":null,"url":null,"abstract":"Biometrics has been widely used in the last decades for security purposes and for increasing the confidence of people in the new informational systems. The present paper presents a new analysis and encoding method of dorsal hand vein patterns, for biometric recognition. Two multiresolution approaches, Discrete Wavelet Transform and Riesz Wavelet Transform, are firstly applied to extract directional image features. The resulted coefficients are encoded based on an ordinal procedure, namely Local Line Binary Pattern.","PeriodicalId":382413,"journal":{"name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Dorsal hand vein recognition based on Riesz Wavelet Transform and Local Line Binary Pattern\",\"authors\":\"R. Malutan, S. Emerich, S. Crisan, O. Pop, László Lefkovits\",\"doi\":\"10.1109/ICFSP.2017.8097159\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Biometrics has been widely used in the last decades for security purposes and for increasing the confidence of people in the new informational systems. The present paper presents a new analysis and encoding method of dorsal hand vein patterns, for biometric recognition. Two multiresolution approaches, Discrete Wavelet Transform and Riesz Wavelet Transform, are firstly applied to extract directional image features. The resulted coefficients are encoded based on an ordinal procedure, namely Local Line Binary Pattern.\",\"PeriodicalId\":382413,\"journal\":{\"name\":\"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICFSP.2017.8097159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFSP.2017.8097159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dorsal hand vein recognition based on Riesz Wavelet Transform and Local Line Binary Pattern
Biometrics has been widely used in the last decades for security purposes and for increasing the confidence of people in the new informational systems. The present paper presents a new analysis and encoding method of dorsal hand vein patterns, for biometric recognition. Two multiresolution approaches, Discrete Wavelet Transform and Riesz Wavelet Transform, are firstly applied to extract directional image features. The resulted coefficients are encoded based on an ordinal procedure, namely Local Line Binary Pattern.