P191 - BIOSIG 2011 - Proceedings of the 10th International Conference of the Biometrics Special Interest Group
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- KonferenzbeitragBiometrische Merkmale im wirtschaftlichen Umfeld – Rechts- und Zulassungsbewertung(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Sperling, Jens; Grabau, Fritz-René; Hundt, IrinaDie Einsatzfähigkeit biometrischer Verfahren und biometrischer Systeme wurde bereits vielfach bewiesen. Praxisanwendungen sind keine Seltenheit mehr. Einen großen Durchbruch haben biometrische Authentifikationsverfahren gegenüber anderen Systemen aber nur teilweise erreicht. Beispielsweise ist in der Kreditwirtschaft weltweit immer noch die 2-Faktor-Authentifizierung aus Karte und PIN relevant. Dieser Beitrag klärt aus einer wirtschaftlichen Perspektive auf, welche Vorraussetzungen erfüllt sein sollten, damit Biometrie allgemein wie juristisch anerkannt ist. Dabei wird auf CC-Evaluierungen und Zertifizierungen eingegangen und versucht dies mit Willenserklärungen und deren Verbindlichkeit zu kombinieren, um Rechtssicherheit zu erzielen.
- KonferenzbeitragBiometric systems in future crime prevention scenarios - how to reduce identifiability of personal data(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Desoi, Monika; Pocs, Matthias; Stach, BenjaminBiometric technology for crime prevention is emerging. The design of a biometric system is decisive for the protection of fundamental rights. This paper analyses the necessary reduction of identifiability of biometric data. By outlining the German legal framework, the paper assesses a technical design proposal for future biometric systems. In this context, a Three-Step-Model is suggested.
- KonferenzbeitragFeature level fusion of face and palmprint using Gaussian mixture model: application to single sample analysis(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Raghavendra, RamachandraWith growing concern about the security, the world over, biometric based person verification is gaining more and more attention. One of the major limitation in Biometric authentication is single sample biometric recognition (unimodal) problem. In this paper, we combine two biometrics namely face and palmprint at feature level using the novel approach based on Log Gabor transform and Gaussian Mixture Mo- del to address this problem. The proposed technique consists of three important steps: First, we vertically fuse the texture features of face and palmprint that are extracted separately using Log-Gabor transform. Second, we model the fused texture data using Gaussian Mixture Model (GMM) to obtain more than one texture transformation matrices. Third, we analyze each of these texture transformation matrices using Principle Component Analysis (PCA) / Independent Component Analysis (ICA) separately. Extensive experiments are carried out on large face and Palmprint databases to prove the efficacy of the proposed method. The experimental results show the superiority of the proposed method compared to some of the existing schemes.
- KonferenzbeitragGroup identification at border crossing points(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Yildirim Yayilgan, Sule; Hovstø, Asbjørn; Cheikh, Alaya; Amodei, Anthony; Iori, Marc; Zaharia, Sandel; Ioannidis, Dimos; Thorvaldsen, ØysteinIncreasing Passenger flow at Border Crossing Points is an important issue at today's border crossing points (BCPs) of land, sea and airport. Group Access Control and utilizing biometrics information will help increase passenger throughput and reduce human error in handling passengers erroneously. Using multi modal information for (biometric) group id can provide more robust handling of passengers. On the other hand, connecting various BCPs will help solve some problems related to illegal entries from non-Schengen to Schengen space, laws and health. This paper presents the first relevant concepts and issues of using (biometric) group idea and connecting BCPs.
- KonferenzbeitragOn biometric key generation from handwritten signatures(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Scheuermann, Dirk; Wolfgruber, Bastian; Henniger, OlafThis paper investigates the extraction of a reproducible bit string referred to as biometric key from biometric data. This is difficult due to the natural variability of biometric data. If the biometric-key generation process were sufficiently resistant against attacks, a biometric key may be used e.g. as basis for the generation of application-specific user passwords. Handwritten signatures or handwritten signs have been chosen because of their high level of user acceptance and because the exchange of compromised keys is possible by using other phrases to write. The experimental results show an insufficient reproducibility of the biometric keys if no auxiliary data is used for smoothing out the natural variability of the presented data.
- KonferenzbeitragTransformative biometrics and the exercise of arbitrary power(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Lodge, JulietThis paper argues that biometrics have been re-framed in ways that decouple them from the discourse of balancing liberty and security with profound implications for the exercise of democratically legitimated power at a time when the transformative impact of ICTs on governance and society is obscured by the pace of change and accelerating mobile forensic applications and policy intent. It questions the framing of biometrics and the adequacy of law to combat the negative impact on society in the absence of EU governance and an independent EU certified quality standards agency for biometrics and associated training.
- KonferenzbeitragFace on the fly: how to track faces(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Herold, Catherine; Gentric, Stéphane; Moënne-Loccoz, Nicolas
- KonferenzbeitragIncreasing the distinctiveness of hand vein images by oriented gradient maps(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Chen, Liming; Huang, Di; Chiheb, Hmida; Amar, Chokri BenHand vein pattern as a biometric trait for people identification has attracted an increasing interest in the recent years thanks to its properties of uniqueness, permanence, non-invasiveness and strong immunity to forgery. In this paper, we propose to make use of Oriented Gradient Maps (OGMs), that we previously proposed for face recognition using the term of Perceived Facial Images (PFIs), to represent Near-Infrared (NIR) hand dorsa vein images and to highlight the distinctiveness of hand vein patterns. Using a holistic approach through both the popular PCA and LDA, we benchmarked the proposed hand vein representations on the NCUT dataset of 2040 hand vein images and demonstrated the effectiveness of the proposed hand vein representations.
- Konferenzbeitrag3D face recognition in the presence of 3D model degradations(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Lemaire, Pierre; Huang, Di; Colineau, Joseph; Ardabilian, Mohsen; Chen, LimingThe problem of 3D face recognition has received a growing interest in the past decades. While proposed approaches have proven their efficiency over renowned databases as FRGC, little work has been conducted on the robustness of such algorithm to the quality of 3D models. In this work, we present a study of the robustness of our 3D face recognition algorithm, namely MS-ELBP+SIFT, to face model degradations. Those degradations include Gaussian noise, decimation, and holes. Degradations are generated on a subset of the FRGC database, hence enabling us to compare the robustness of our approach to them. Results are provided through a comparative study with the baseline ICP method.
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