1,721,863 research outputs found
Biometrie - Beschleuniger oder Bremser von Identitätsdiebstahl
No full textDer Beitrag betrachtet die Fragestellung, ob Biometrie als Beschleuniger oder Bremser von Identitätsdiebstahl betrachtet werden sollte. Dazu werden Szenarien betrachtet, in denen umfangreich Gesichtsbilddaten gesammelt werden. Diese Szenarien werden anhand etablierter Definitionen analysiert. Ferner werden Vorfälle von Identitätsmissbrauch betrachtet und eine Bewertung von Schutzmechanismen gegeben
A Novel Privacy Enhancing Algorithm for Biometric System
No full textBiometrics provide the possibility of unique and convenient authentication. As its application areas grow rapidly, the problems, such as identity fraud and cross matching, threaten the security of biometric systems. Moreover, privacy concerns are associated with biometrics. In this paper we focus on privacy enhancing techniques for biometric systems, which can protect biometric information and enable using biomet- rics without exposure of privacy. A novel privacy enhancing algorithm is proposed. The algorithm is integrated in a 3D face recognition algorithm and tested using the FRGC database. By using the proposed algorithm, high security can be achieved as well as good verification performance
Video-based fingerphoto recognition with anti-spoofing techniques with smartphone cameras
No full textThis work is concerned with the acquisition of fingerprints samples on smartphones with the built-in smartphone camera. A novel approach to capture multiple fingerphotos in a videostream with a smartphone camera and the processing of the photos for the finger recognition is discussed in this paper. The proposed technique offers a convenient and efficient way to capture multiple samples of a biometric instance in a short time frame. Due the fact that fingerphotos can be easily replicated with low effort (e.g. print outs with an ordinary printer) and thus are vulnerable to presentation attacks, anti-spoofing algorithms were developed to detect such spoof attempts. The algorithms for the detection and segmentation of the finger as well the preprocessing of the photo with graphical operations and anti-spoofing were implemented in a prototype as application for the Android operating system. User tests are performed to evaluate the usability and to create a database of biometric samples for offline evaluation of the recognition performance. Further tests are done with diverse artefacts such as printed finger images, fake fingers of gelatin, gummy and silicon as well finger replay videos to measure the resistance of the developed solution against presentation attacks
A topology based approach to categorization of fingerprint images
No full textThis paper discusses the use of betti numbers to characterize fingerprint and iris images. The goal is to automatically separate fingerprint images from nonfingerprint images; where non-fingerprint images of special interest are biometric samples which are not fingerprints. In this regard, an image is viewed as a triangulated point cloud and the topology associated with this construct is summarized using its first betti number - a number that indicates the number of distinct cycles in the triangulation associated to the particular image. This number is then compared against the first betti numbers of “n” prototype images in order to perform classification (“fingerprint” vs “non-fingerprint”). The proposed method is compared against SIVV (a tool provided by NIST). Experimental results on fingerprint and iris databases demonstrate the potential of the scheme
Social acceptance of biometric technologies in Germany: A survey
No full textSince the past decade biometric technologies are field-proven, facilitating reliable and secure access control. Numerous successful deployments on large-scale systems, e.g. airports, confirm the feasibility of biometric recognition. However, applications of biometric systems involve privacy concerns, i.e. debates on social and ethical acceptance of biometrics reached levels never previously witnessed. In this work a comprehensive questionnaire regarding social acceptance of biometric technologies in Germany is presented. Results are obtained from a total number of 140 respondents, allowing a representative analysis of citizens' attitudes towards biometric technologies. Relevant questions are put into view and perceptions of German citizens regarding the rise of biometric technologies are discussed in detail and interesting conclusions are drawn
Classification of acceleration data for biometric gait recognition on mobile devices
No full textUbiquitous 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
Fingerprint recognition with cellular partitioning and co-sinusoidal triplets
No full textIn this fingerprint verification approach, a fingerprint image is divided into equally sized cells and the pattern is represented by a substitute resulting in a feature vector of fixed length. A related ISO standard recommends three different approaches for the selection of these. It suggests a cell size of approximately two ridges per cell. For the co-sinusoidal triplet approach for the retrieval of the spectral component this assumption was investigated. The influence of the cell size on the biometric performance was supported and additionally, a sound comparison method was implemented. To maintain a comprehensible evaluation the open Fingerprint Verification Competition (FVC) databases FVC2000 and FVC2002 were used
A quality score honoring approach to semantic conformance assessment of minutiae-based feature extractors
No full textThe use of biometric systems is steadily increasing, which leads to heterogeneity and, thus, possibly interoperability issues. In order to address such issues, standards are developed by ISO/IEC Joint Technical Committee 1. In the case of minutiae-based fingerprint recognition, for instance, ISO/IEC 19794-2 defines biometric data interchange records that vendors should adhere to. To validate adherence to this standard, ISO/IEC 29109-2 specifies means to perform syntactic conformance testing. Yet, a specification of semantic conformance testing is missing and is currently being discussed as a working draft amendment of ISO/IEC 29109-2. In order to contribute to this development, this paper proposes a general semantic conformance testing framework. Especially, a formal semantic conformance computation model is proposed that can be used to assess a biometric systems vendor's semantic conformance according to a ground-truth data set and to compare different testing approaches. Furthermore, an instance thereof is proposed that honors minutia quality scores when computing semantic conformance rates. Initial evaluation shows, that semantic conformance rates computed using this quality-honoring approach correlate with inter-vendor performance measures we would expect in a real-world scenario
Comparative study on fingerprint recognition systems - Project BioFinger
No full textThis paper describes a comparative study on fingerprint recognition systems - the project BioFinger. The goal of this study is to investigate the capability characteristics of biometric systems in the ongoing discussion regarding integration of biometric features in personnel documents such as IDcards and Visa application documents. Thus the designed test has the focus on performance testing of selected algorithms and systems with dedicated investigations on side effects such as independence of matching rates and results from the scanning device or dependability of received operator characteristics from aging effects. The project is carried out in close collaboration between Federal Bureau of Criminal Investigation (Bundeskriminalamt, BKA), the Federal Office for Information Security (Bundesamt für Sicherheit in der Informationstechnik, BSI) and the Fraunhofer-IGD
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