Name
Abstract | ||
|---|---|---|
Biometric authentication methods are often being considered as a possible complement or even replacement of widely used password or token based authentication mechanisms. However, because of the fact that biometric traits are intrinsically tied to a person, several legitimate questions arise as biometric methods become more and more popular, such as the protection of personal information which is being gathered and stored alongside a biometric reference, the control of a possible connection of various biometric data of one user in different applications and the cancellation of compromised biometric data. Efforts that contain solutions for the problems which arise from these questions are being described as Template Protection Methods and are topic of current research. One method relies on protection of biometric data by a cryptographic concept named Fuzzy Vault. This paper specifically investigates the applicability of the concept to protect data used in three dimensional facial recognition. A prototype of that method has been implementedand checked for its ability to be adapted for use with data from 3D face scans. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/IIH-MSP.2008.315 | IIH-MSP |
Keywords | Field | DocType |
face recognition systems,fuzzy vault,biometric trait,biometric method,biometric data,possible connection,biometric authentication method,various biometric data,cryptographic concept,authentication mechanism,biometric reference,biometrics,face,galois fields,feature extraction,finite element methods,message authentication,biometric authentication,face recognition,fuzzy set theory,cryptography,bioinformatics,polynomials,three dimensional | Facial recognition system,Authentication,Message authentication code,Computer science,Computer security,Cryptography,Personally identifiable information,Password,Biometrics,Security token | Conference |
ISBN | Citations | PageRank |
978-0-7695-3278-3 | 7 | 0.46 |
References | Authors | |
17 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Frassen | 1 | 7 | 0.46 |
| Xuebing Zhou | 2 | 150 | 13.14 |
| Christoph Busch | 3 | 788 | 80.29 |