Name
Abstract | ||
|---|---|---|
Extracting binary strings from real-valued templates has been a fundamental issue in many biometric template protection systems. In this paper, we present an optimal bit allocation method (OBA). By means of it, a binary string at a pre-defined length with maximized overall detection rate is generated. Experiments with the binary strings and a Hamming distance classifier on FRGC and FERET databases show promising performance in terms of FAR and FRR. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/CVPRW.2008.4563112 | CVPR Workshops |
Keywords | Field | DocType |
optimal bit allocation method,real-valued templates,feret databases,detection rate optimized bit allocation,far,biometric template protection systems,frr,hamming distance classifier,biometrics (access control),biometric binary string generation,hamming codes,frgc,maximized overall detection rate,quantization,concatenated codes,feature extraction,binary codes,probability density function,biometrics,dynamic programming,fuzzy systems,hamming distance | Hamming code,Dynamic programming,Pattern recognition,Computer science,Feature extraction,Hamming distance,Artificial intelligence,Biometrics,Template,Quantization (signal processing),Classifier (linguistics) | Conference |
Volume | Issue | ISSN |
2008 | 1 | 2160-7508 E-ISBN : 978-1-4244-2340-8 |
ISBN | Citations | PageRank |
978-1-4244-2340-8 | 15 | 1.04 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chun Chen | 1 | 41 | 2.31 |
| R. N. J. Veldhuis | 2 | 88 | 7.52 |
| Kevenaar, T.A.M. | 3 | 67 | 3.05 |
| Anton H. M. Akkermans | 4 | 170 | 10.79 |