{"title":"在静脉上发光——手静脉识别中的反射光或透光","authors":"Christof Kauba, A. Uhl","doi":"10.1109/ICB2018.2018.00050","DOIUrl":null,"url":null,"abstract":"The near-infrared light source is a crucial part of a hand-vein scanner. Depending on its position there are two main illumination types: reflected light and transillumination. Commercial scanners and all publicly available data sets use reflected light. We established two dual illumination dorsal hand-vein data sets (one of them is made publicly available) including both, reflected light and transillumination images acquired using the same subjects, hand position and environmental conditions. This enables a direct comparison of both illumination scenarios as well as cross-illumination matching. Several experiments utilising common hand-vein recognition algorithms were carried out to quantify the recognition performance in each of the illumination scenarios and in the cross-illumination matching one.","PeriodicalId":130957,"journal":{"name":"2018 International Conference on Biometrics (ICB)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Shedding Light on the Veins - Reflected Light or Transillumination in Hand-Vein Recognition\",\"authors\":\"Christof Kauba, A. Uhl\",\"doi\":\"10.1109/ICB2018.2018.00050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The near-infrared light source is a crucial part of a hand-vein scanner. Depending on its position there are two main illumination types: reflected light and transillumination. Commercial scanners and all publicly available data sets use reflected light. We established two dual illumination dorsal hand-vein data sets (one of them is made publicly available) including both, reflected light and transillumination images acquired using the same subjects, hand position and environmental conditions. This enables a direct comparison of both illumination scenarios as well as cross-illumination matching. Several experiments utilising common hand-vein recognition algorithms were carried out to quantify the recognition performance in each of the illumination scenarios and in the cross-illumination matching one.\",\"PeriodicalId\":130957,\"journal\":{\"name\":\"2018 International Conference on Biometrics (ICB)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Biometrics (ICB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICB2018.2018.00050\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Biometrics (ICB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICB2018.2018.00050","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Shedding Light on the Veins - Reflected Light or Transillumination in Hand-Vein Recognition
The near-infrared light source is a crucial part of a hand-vein scanner. Depending on its position there are two main illumination types: reflected light and transillumination. Commercial scanners and all publicly available data sets use reflected light. We established two dual illumination dorsal hand-vein data sets (one of them is made publicly available) including both, reflected light and transillumination images acquired using the same subjects, hand position and environmental conditions. This enables a direct comparison of both illumination scenarios as well as cross-illumination matching. Several experiments utilising common hand-vein recognition algorithms were carried out to quantify the recognition performance in each of the illumination scenarios and in the cross-illumination matching one.