Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition
Joint Research Centre · Idiap Research Institute · +1 more institution
Abstract
To ensure the actual presence of a real legitimate trait in contrast to a fake self-manufactured synthetic or reconstructed sample is a significant problem in biometric authentication, which requires the development of new and efficient protection measures. In this paper, we present a novel software-based fake detection method that can be used in multiple biometric systems to detect different types of fraudulent access attempts. The objective of the proposed system is to enhance the security of biometric recognition frameworks, by adding liveness assessment in a fast, user-friendly, and non-intrusive manner, through the use of image quality assessment. The proposed approach presents a very low degree of…
Citation impact
- FWCI
- 43.91
- Percentile
- 100%
- References
- 68
Authors
3Topics & keywords
- Biometrics
- Computer science
- Liveness
- Fingerprint (computing)
- Iris recognition
- Artificial intelligence
- Fingerprint recognition
- Facial recognition system
- Reduced inequalities