Name
Title | ||
|---|---|---|
Biometric Feature-Type Transformation: Making templates compatible for secret protection |
Abstract | ||
|---|---|---|
Biometrics refers to physiological (i.e., face, fingerprint, hand geometry, etc.) and behavioral (i.e., speech, signature, keystroke, etc.) traits of a human identity. As these traits are unique to individuals, biometrics can be used to identify users reliably in many authentication applications, such as access control and e-commerce. Most biometric authentication systems offer great convenience w... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/MSP.2015.2423693 | IEEE Signal Processing Magazine |
Keywords | Field | DocType |
Quantization (signal),Feature extraction,Cryptography,Encoding,Physiology,Decoding,Biometrics (access control) | Hand geometry,Authentication,Computer security,Computer science,Keystroke logging,Access control,Password,Biometrics,Multi-factor authentication,Security token | Journal |
Volume | Issue | ISSN |
32 | 5 | 1053-5888 |
Citations | PageRank | References |
7 | 0.48 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng-Hui Lim | 1 | 188 | 22.66 |
| Andrew Beng Jin Teoh | 2 | 1778 | 125.80 |
| Jaihie Kim | 3 | 1282 | 83.11 |