1,721,022 research outputs found
Liveness Detection Competition 2009
No full textThe widespread use of personal verification systems based on fingerprints has shown some security weaknesses. Gian Luca Marcialis, assistant professor at the Department of electrical and electronic engineering in the University of Cagliari reports on the first international fingerprint liveness detection competition 2009 – LivDet 2009
Decision-level fusion of PCA and LDA-based face recognition algorithms
No full textIn this paper, a face recognition system based on the fusion of two well-known appearance-based algorithms, namely Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), is proposed. Fusion is performed at the decision-level, that is, the outputs of the individual face recognition algorithms are combined. Two main benefits of such fusion are shown. First, the reduction of the dependence on the environmental conditions with respect to the best individual recogniser. Secondly, the overall performance improvement over the best individual recogniser. To this end, fusion is investigated under different environmental conditions, namely, ``ideal'' conditions, characterised by a very limited variability of environmental parameters, and ``real'' conditions with large variability of lighting and face expressions
Biometric template update: An experimental investigation on the relationship between update errors and performance degradation in face verification
No full textCurrent methods for automatic template update are aimed at capturing large intra-class variations of input data and at the same time restricting the probability of impostor's introduction in client's galleries. These automatic methods avoid the costs of supervised update methods, which are due to repeated enrollment sessions and manual assignment of identity labels. Most of state-of-the-art template update approaches add input patterns to the claimed identity's gallery on the basis of their matching score with the existing templates, which must be above a very high "updating" threshold. However, regardless of the value of such updating threshold, update errors do exist and impact strongly on the effectiveness of update procedures. The introduction of impostors into the galleries may degrade the performance quickly. This effect has not been studied in the literature so far. Therefore, a first experimental investigation is the goal of this paper, with a case study on a face verification system. © 2008 Springer Berlin Heidelberg
Boosting Gallery Representativeness by Co-updating Face and Fingerprint Verification Systems
No full textAbstract. The representativeness of a template gallery to the novel data is a
well-known issue in a personal verification system based on biometrics. This
problem has been recently faced by proposing ?template update? algorithms
that updates the enrolled templates in order to capture and represent better, the
subject?s intra-class variations. Whilst the majority of the proposed approaches
adopted ?self? update technique, in which the system updates itself using its
own knowledge. An approach named template co-update, using two
complementary biometrics to ?co-update? each other, has shown promising, but
still preliminary, results. In this paper, we investigate the performance of the
template co-update in comparison to self update algorithms in an uncontrolled
environment. Reported results show that template co-update can outperform
template ?self? update technique, when initial enrolled templates are poor
representative of the novel data
Template co-update in multimodal biometric systems
No full textPerformances of biometric recognition systems can degrade quickly when the input biometric traits exhibit substantial variations compared to the templates collected during the enrolment stage of users. This issue can be addressed using template update methods. In this paper, a novel template update method based on the concept of biometric co-training is presented. In multimodal biometric systems, this method allows co-updating the template galleries of different biometrics, realizing a co-training process of biometric experts which allows updating templates more quickly and effectively. Reported results provide a first experimental evidence of the effectiveness of the proposed template update method. © Springer-Verlag Berlin Heidelberg 2007
An advanced image processing tool for latent fingerprint analysis and liveness assessment
No full textFusion of Multiple Matchers for Fingerprint Verification
No full textAbstract. Automatic identity verification systems play an important role in
many applications where the access to critical resources must be controlled (e.g.
internet transactions, airport access and so on). Fingerprints have been used as
biometrics to identity verification, and many techniques have been recently
proposed for fingerprint identification. In this work, we propose a methodology to
fuse the decisions of multiple verification algorithms in order to increase the
robustness and the performance of a fingerprint verification system. Experimental
results showing the effectiveness of our approach are reported
Fingerprint presentation attacks detection based on the user-specific effect
No full textThe similarities among different acquisitions of the same fingerprint have never been taken into account, so far, in the feature space designed to detect fingerprint presentation attacks. Actually, the existence of such resemblances has only been shown in a recent work where the authors have been able to describe what they called the "user-specific effect". We present in this paper a first attempt to take advantage of this in order to improve the performance of a FPAD system. In particular, we conceived a binary code of three bits aimed to "detect" such effect. Coupled with a classifier trained according to the standard protocol followed, for example, in the LivDet competition, this approach allowed us to get a better accuracy compared to that obtained with the "generic users" classifier alone
Fingerprint silicon replicas: static and dynamic features for vitality detection using an optical capture device
No full textThe automatic vitality detection of a fingerprint has become an important issue in per-
sonal verification systems based on this biometric. It has been shown that fake finger-
prints made using materials like gelatine or silicon can deceive commonly used sensors.
Recently, the extraction of vitality features from fingerprint images has been proposed to
address this problem. Among others, static and dynamic features have been separately
studied so far, thus their respective merits are not yet clear; especially because reported
results were often obtained with different sensors and using small data sets which could
have obscured relative merits, due to the potential small sample-size issues. In this pa-
per, we compare some static and dynamic features by experiments on a larger data set
and using the same optical sensor for the extraction of both feature sets. We dealt with
fingerprint stamps made using liquid silicon rubber. Reported results show the relative
merits of static and dynamic features and the performance improvement achievable by
using such features together
Modelling frr of biometric verification systems using the template Co-update algorithm
No full textThe decrease of representativeness of available templates during time is due to the large intra-class variations characterizing biometrics (e.g. faces). This requires the design of algorithms able to make biometric verification systems adaptive to such variations. Among others, the template co-update algo-rithm, which uses the mutual help of two complementary biometric matchers, has shown promising experimental results. The present paper is aimed to describe a theoretical model able to explain the co-update behaviour. In particular, the focus is on the relationships between error rate and gallery size increase. Preliminary experimental results are shown to validate the proposed model. © Springer-Verlag Berlin Heidelberg 2009
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