P191 - BIOSIG 2011 - Proceedings of the 10th International Conference of the Biometrics Special Interest Group
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- Konferenzbeitrag3D capturing of fingerprints – on the way to a contactless certified sensor(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Koller, Dieter; Walchshäusl, Leonard; Eggers, Georg; Neudel, Frank; Kursawe, Ulrich; Kühmstedt, Peter; Heinze, Matthias; Ramm, Roland; Bräuer-Burchard, Christian; Notni, Gunther; Kafka, Ricarda; Neubert, Ralf; Seibert, Helmut; Castro-Neves, Margarida; Nouak, AlexanderThe purpose of this paper is to describe the development and performance tests of a contact-free fingerprint sensor, TrueFinger3D (TF3D). This contactless fingerprint sensor is designed to be perfectly interoperable with fingerprint image data captured with contact-based sensors or ink pads. This is achieved by acquiring a 3D dataset of the fingertip together with the image of the papillary lines. Based on the 3D data, the papillary lines image can be processed to compensate perspective foreshortening or even emulate deformation effects caused with contact-based sensors. The 3D measurement mechanism and the image processing are described in detail. The resulting fingerprint images taken by the contactless sensor are then matched with images taken by regular contact-based fingerprint readers at different force levels. The comparison shows that the geometric distortion of our contactless sensor TF3D is comparable to that of contact-based sensors deployed under regular conditions. Our test also shows that contact-based sensors operated under irregular or strong force conditions suffer from a substantial performance degradation, not seen with the contactless sensor TF3D, which has perfect reproducibility. The results also indicate perfect interoperability of the TF3D with any contact-based data and should therefore entitle the sensor to a certification for governmental use.
- 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.
- KonferenzbeitragAktivitätserkennung auf Smartphones(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Wirtl, Tobias; Nickel, ClaudiaMobile Geräte wie Handys haben seit Jahren einen festen Platz in unserem Alltag. In den letzten Jahren hat sich auf diesem Sektor daher viel verändert und eine neue Geräteklasse, die sogenannten Smartphones, halten Einzug in den Massenmarkt. Da die Geräte nicht mehr nur zum Telefonieren genutzt werden, sind in einem modernen Smartphone allerlei Sensoren integriert. Unter anderem auch Beschleunigungsmesser, die beispielweise für die Gangerkennung genutzt werden können. Dieser Artikel beschäftigt sich mit einer Ergänzung zur Verbesserung der Gangerkennung, es wird eine Möglichkeit geschaffen, über Beschleunigungssensoren in Smartphones verschiedene Aktivitäten zu unterscheiden, die der Benutzer während des Tragens des Geräts ausführt. Im Gegensatz zu anderen Arbeiten wurde hierbei die Erkennung direkt auf dem Endgerät implementiert. Es konnte eine Möglichkeit gefunden werden, die Aktivitätserkennung auf einem Smartphone so zu realisieren, dass die benötigte Zeit zur Erkennung, sowie die Zuverlässigkeit im akzeptablen Bereich liegen.
- 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.
- 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.
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- KonferenzbeitragClassification of acceleration data for biometric gait recognition on mobile devices(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Nickel, Claudia; Brandt, Holger; Busch, ChristophUbiquitous mobile devices like smartphones and tablets are often not secured against unauthorized access as the users tend to not use passwords because of convenience reasons. Therefore, this study proposes an alternative user authentication method for mobile devices based on gait biometrics. The gait characteristics are captured using the built-in accelerometer of a smartphone. Various features are extracted from the measured accelerations and utilized to train a support vector machine (SVM). Among the extracted features are the Meland Bark-frequency cepstral coefficients (MFCC, BFCC) which are commonly used in speech and speaker recognition and have not been used for gait recognition previously. The proposed approach showed competitive recognition performance, yielding 5.9% FMR at 6.3% FNMR in a mixedday scenario.
- KonferenzbeitragContinuous speaker verification in realtime(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Kunz, Max; Kasper, Klaus; Reininger, Herbert; Möbius, Manuel; Ohms, JonathanBiometric speaker verification deals with the recognition of voice and speech features to reliably identify a user and to offer him a comfortable alternative to knowledge-based authentication methods like passwords. As more and more personal data is saved on smartphones and other mobile devices, their security is in the focus of recent applications. Continuous Speaker Verification during smartphone phone calls offers a convenient way to improve the protection of these sensitive data. This paper describes an approach to realize a system for continuous speaker verification during an ongoing phone call. The aim of this research was to investigate the feasibility of such a system by creating a prototype. This prototype shows how it is possible to use existing technologies for speaker verification and speech recognition to compute segments of a continuous audio signal in real-time. In line with experiments, a simulation study was made in which 14 subjects first trained the system with a freely spoken text and then verified themselves afterwards. Ad- ditional intruder tests against all other profiles where also simulated.
- KonferenzbeitragDesigning a self-service terminal for capturing biometric data for the German Identity Card and the Electronic Passport(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Pahmeier, StephanSpeed Intraproc has developed and is marketing a self-service terminal for capturing biometric data for the German Identity Card and the Electronic Passport. The Speed Capture Station is based on a solution being used in Sweden since 2005 to capture photo, fingerprints and signature for the national passport. In Sweden, the terminal is completely operated by an official, whereas the solution for Germany is a self-service terminal being used by the applicant independently, while the official is just retrieving the captured data during the application process. During the design and the development of the self-service terminal several aspects had to be considered. Among these were the compliance with national regulations like Technical Guidelines by the Federal Office for Information Security and the German Data Privacy Act, but also the requirement to provide an interface allowing an easy integration of the data retrieval into the software in use at the identity card and passport authorities. In this paper the main requirements, their implications and the related solutions which were implemented in the Speed Capture Station are described, followed by a report about the first pilot operation of the terminal during the second half of 2010 in the city of Monheim am Rhein. Final conclusions are drawn based on the information presented herein, including a closer look at the benefits for different stakeholders like citizens, municipalities and others.
- KonferenzbeitragEfficient database techniques for identification with fuzzy vault templates(BIOSIG 2011 – Proceedings of the Biometrics Special Interest Group, 2011) Böhm, Christian; Färber, Ines; Fries, Sergej; Korte, Ulrike; Merkle, Johannes; Oswald, Annahita; Seidl, Thomas; Wackersreuther, Bianca; Wackersreuther, PeterThe authentication based on biometric information has several advantages compared to solely password-based systems, which has led to a growing interest of industry and of public authorities in biometric-based systems. To meet the high security standards concerning biometric data, template protection systems such as the fuzzy vault are indispensable to maintain the secrecy of the critical information. Several publications have discussed the application of fuzzy vault to fingerprint authentication systems. However, for identification purposes in large databases the fuzzy vault protection of the biometric reference data poses severe efficiency challenges. In this work, we examine and compare the performance of three different approaches to enable the identification based on protected fingerprint minutiae templates also for large databases. All three approaches calculate a prioritization of the database entries exploiting filtering techniques and indexing structures. Based on this prioritization a search performing the complex exact comparison of database and query template is steered and thus will faster find a match.