Evaluation methodology for fake samples detection in biometrics

Fernandez-Saavedra, Belen; Sánchez-Reillo, Raúl; Alonso-Moreno, R.; Ávila, Carmen Sánchez

doi:10.1109/ccst.2008.4751307

Cited by 6 publications

(5 citation statements)

References 3 publications

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“…On the other hand, although some efforts have been made in the frame of the Common Criteria [41], [181] and there is on-going work to release the first ISO standard specifically focused on spoofing [42], still no largely extended standard exists regarding the evaluation of biometric vulnerabilities. This has resulted in very sparse certifications of biometricbased security commercial products compared to other technologies with a long standardization trajectory such as smart cards or cryptography [45]- [47].…”

Section: Summary and Discussion: Lessons Facts And Challengesmentioning

confidence: 99%

Biometric Antispoofing Methods: A Survey in Face Recognition

2014

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In recent decades, we have witnessed the evolution of biometric technology from the first pioneering works in face and voice recognition to the current state of development wherein a wide spectrum of highly accurate systems may be found, ranging from largely deployed modalities, such as fingerprint, face, or iris, to more marginal ones, such as signature or hand. This path of technological evolution has naturally led to a critical issue that has only started to be addressed recently: the resistance of this rapidly emerging technology to external attacks and, in particular, to spoofing. Spoofing, referred to by the term presentation attack in current standards, is a purely biometric vulnerability that is not shared with other IT security solutions. It refers to the ability to fool a biometric system into recognizing an illegitimate user as a genuine one by means of presenting a synthetic forged version of the original biometric trait to the sensor. The entire biometric community, including researchers, developers, standardizing bodies, and vendors, has thrown itself into the challenging task of proposing and developing efficient protection methods against this threat. The goal of this paper is to provide a comprehensive overview on the work that has been carried out over the last decade in the emerging field of antispoofing, with special attention to the mature and largely deployed face modality. The work covers theories, methodologies, state-of-the-art techniques, and evaluation databases and also aims at providing an outlook into the future of this very active field of research.

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Section: Summary and Discussion: Lessons Facts And Challengesmentioning

confidence: 99%

Biometric Antispoofing Methods: A Survey in Face Recognition

2014

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“…The evaluation methodology of the security of the aliveness detector system proposed here was conducted according to the guidance provided in [13] and [14]. The results are given as both aggregated measures and compare the distance of each material used for imitated hands with the genuine hands.…”

Section: Experimental Methodologymentioning

confidence: 99%

Wide band spectroscopic skin detection for contactless hand biometrics

Ferrer

Morales

Travieso

et al. 2012

IET Computer Vision

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Spoofing is a real concern with regard to the security of biometric systems, especially in personal identification systems based on contactless hand biometrics which can be easily fooled with a simple hand picture. This study proposes a new approach to increase the security of contactless biometric devices using a skin detector based on reflectance spectroscopy in visual, near infrared and short wave infrared bands. The proposal is evaluated with a set of genuine and synthetic hands made from different potentially spoofing materials.

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“…The evaluation of the security of the hand shape biometric device proposed has been conducted on the basis of the guidance provided in [29] and [30]. It has been performed in two steps, each evaluating one of the two hypotheses we set out above in section 1A.…”

Section: B Evaluation Methodologymentioning

confidence: 99%

Hand-Shape Biometrics Combining the Visible and Short-Wave Infrared Bands

Ferrer

Morales

2011

IEEE Trans.Inform.Forensic Secur.

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This paper proposes a hand shape biometric device with two sensors, respectively working in the visible and 1470nm bands. The inclusion of the 1470nm band sensor is to improve both security and performance. The security is improved by including a spoof detector and the performance by combining both bands. The spoof detector combines three skin detection indices obtained by comparing the reflectance of the hand image in the red, green and blue bands with that from the 1470nm band. The hand tissues reflect the visible radiation while absorbing the 1470nm radiation. The band combination is carried out at a score level which reduces the error rate because different images were obtained under different physical principles (reflection and absorption). The system performance has been evaluated with a database containing 10 acquisitions from each of a group of 100 users and 390 acquisitions from 62 imitated hands made of different materials. The experimental results confirm both security and performance improvement.

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Evaluation methodology for fake samples detection in biometrics

Cited by 6 publications

References 3 publications

Biometric Antispoofing Methods: A Survey in Face Recognition

Biometric Antispoofing Methods: A Survey in Face Recognition

Wide band spectroscopic skin detection for contactless hand biometrics

Hand-Shape Biometrics Combining the Visible and Short-Wave Infrared Bands

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