Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition

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...

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Veröffentlicht in:IEEE transactions on image processing Jg. 23; H. 2; S. 710 - 724
Hauptverfasser: Galbally, Javier, Marcel, Sebastien, Fierrez, Julian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.02.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Applied sciences
Assessments
attacks
Biomedical imaging
Biometric Identification - methods
Biometrics
countermeasures
Cryptography
Cybersecurity
Dermatoglyphics
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Face
Face - anatomy & histology
Facial Recognition
Feature extraction
Fingers - anatomy & histology
Fraud - prevention & control
Humans
Image Interpretation, Computer-Assisted - methods
Image processing
Image quality
Image quality assessment
Information, signal and communications theory
Iris - anatomy & histology
Iris recognition
Pattern recognition
Pattern Recognition, Automated - methods
Reproducibility of Results
Security
Sensitivity and Specificity
Signal and communications theory
Signal processing
Signal, noise
Telecommunications and information theory
Biometrics
State of the art
Image recognition
Face recognition
Image processing
countermeasures
Image quality assessment
Fraud
Pattern recognition
Image quality
security
Fingerprint identification
attacks
Authentication
Multiple system
Quality control
Signal processing
Feature extraction
Software
Open market
Safety
Automatic recognition
Image evaluation
ISSN:1057-7149, 1941-0042
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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 complexity, which makes it suitable for real-time applications, using 25 general image quality features extracted from one image (i.e., the same acquired for authentication purposes) to distinguish between legitimate and impostor samples. The experimental results, obtained on publicly available data sets of fingerprint, iris, and 2D face, show that the proposed method is highly competitive compared with other state-of-the-art approaches and that the analysis of the general image quality of real biometric samples reveals highly valuable information that may be very efficiently used to discriminate them from fake traits.
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ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2013.2292332