Anti-spoofing: Evaluation Methodologies
| Type of publication: | Book chapter |
| Citation: | Chingovska_SPRINGER-2_2014 |
| Booktitle: | Encyclopedia of Biometrics |
| Edition: | 2nd edition |
| Year: | 2014 |
| Publisher: | Springer US |
| ISBN: | 978-3-642-27733-7 |
| DOI: | 10.1007/978-3-642-27733-7 |
| Abstract: | Following the definition of the task of the anti-spoofing systems to discriminate between real accesses and spoofing attacks, anti-spoofing can be regarded as a binary classification problem. The spoofing databases and the evaluation methodologies for anti-spoofing systems most often comply to the standards for binary classification problems. However, the anti-spoofing systems are not destined to work stand-alone, and their main purpose is to protect a verification system from spoofing attacks. In the process of combining the decision of an anti-spoofing and a recognition system, effects on the recognition performance can be expected. Therefore, it is important to analyze the problem of anti-spoofing under the umbrella of biometric recognition systems. This brings certain requirements in the database design, as well as adapted concepts for evaluation of biometric recognition systems under spoofing attacks. |
| Keywords: | |
| Projects |
TABULA RASA |
| Authors | |
| Editors | |
| Added by: | [UNK] |
| Total mark: | 0 |
|
Attachments
|
|
|
Notes
|
|
|
|
|