DocumentCode :
2465560
Title :
Why Vein Recognition Needs Privacy Protection
Author :
Hartung, Daniel ; Busch, Christoph
Author_Institution :
Norwegian Inf. Security Lab. (NISlab), Gjovik Univ. Coll., Gjovik, Norway
fYear :
2009
fDate :
12-14 Sept. 2009
Firstpage :
1090
Lastpage :
1095
Abstract :
This paper describes the emerging biometric modality of vein recognition and privacy concerns that arise with its widespread use. Current sensors are able to capture vein patterns inside the human body, this is considered as a private biometric characteristic. In fact two medical disease patterns are presented that can be extracted from the vein patterns. In order to be compliant with data privacy protection laws privacy enhancing mechanisms have to be applied in vein recognition systems. Experiments of applying the helper data scheme to a back-hand vein database were conducted with remarkable results. A privacy-enhanced verification system can be realized, which shows good biometric performance under laboratory conditions.
Keywords :
biometrics (access control); data privacy; feature extraction; medical information systems; back-hand vein database; biometric modality; data privacy protection; medical disease patterns; privacy enhancing mechanisms; privacy protection; privacy-enhanced verification system; vein patterns; vein recognition systems; Biometrics; Biosensors; Data mining; Data privacy; Databases; Diseases; Humans; Protection; Sensor phenomena and characterization; Veins; medical information; privacy protection; vein recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4717-6
Electronic_ISBN :
978-0-7695-3762-7
Type :
conf
DOI :
10.1109/IIH-MSP.2009.132
Filename :
5337527
Link To Document :
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