1,720,996 research outputs found
Fingerprint Segmentation
No full textFingerprint segmentation is the first step of most fingerprint recognition algorithms. This software, written in Python using NumPy and OpenCV libraries, implements a simple but fast and effective method for fingerprint segmentation. Experimental results on FVC2000, FVC2002, and FVC2004 databases shows that the performance of this software is aligned to other state-of-the-art techniques
Fingerprint Orientation Estimation
No full textOrientation estimation is a fundamental step in most fingerprint recognition algorithms. This software implements an adaptive method based on local gradient information: a first estimation is performed and the average local consistency (strength) of orientations is used as a quality metric to determine the window size for the final estimation. Experimental results on the FOE benchmark show that the performance of this software is better than other baseline algorithms exploiting gradient information
Fingerprint Synthesis
No full textBook cover
Handbook of Fingerprint Recognition pp 385–426Cite as
Fingerprint Synthesis
Davide Maltoni, Dario Maio, Anil K. Jain & Jianjiang Feng
Chapter
First Online: 05 July 2022
253 Accesses
Abstract
Synthetic fingerprints, when properly generated, represent a reasonable substitute for real fingerprints for the design, training, and benchmarking of fingerprint recognition algorithms. This approach is particularly useful to deal with emerging privacy regulations (e.g., EU-GDPR) limiting the use of personally identifiable information. This chapter introduces fingerprint synthesis and focuses on the two main categories of generation approaches: (i) first generate a master fingerprint and then derive multiple impressions (e.g., SFinGe); (ii) generative models (e.g., GAN) for the direct synthesis of fingerprint images. Validation of synthetic generators through large scale experiments is finally presented
Large scale fingerprint recognition accelerated in hardware
No full textTo make automatic fingerprint identification systems (AFIS) capable of searching across several millions of fingerprints in a few seconds, very powerful (and expensive) distributed computing architectures are typically used. The recent improvement of algorithms and the availability of powerful CPUs and GPUs makes it now possible to deploy large scale fingerprint recognition on low-cost hardware, thus approaching a larger number of applications (e.g., welfare benefits in poor countries). This chapter discusses architectural design, algorithms and hardware optimization to speed-up fingerprint recognition on large databases
Generating synthetic fingerprints
No full textSynthetic Fingerprint generation techniques and associated tools (e.g., SFinGe) were introduced more than 15 years ago. The main aim was to generate large databases for performance evaluation without allocating huge amount of resources for acquisition campaigns and, at the same time, to conform with the privacy directives that in many countries limit the exchange of biometric data. While the original scope remains central today, since the generation of very large synthetic dataset is crucial to predict accuracy on very-large scenarios, new security needs (such as detecting altered fingerprints) and algorithms improvements (supervised learning approaches) are continuously renewing interest in the generation of synthetic fingerprints
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Fingerprint verification competition 2006
No full textThe interest in fingerprint-based biometric systems has constantly grown in recent years and considerable efforts have been focused by both academia and industry on the development of new algorithms for fingerprint recognition. Raffaele Cappelli, Matteo Ferrara, Annalisa Franco and Davide Maltoni of the Biometric System Laboratory at the University of Bologna explain the findings of the Fingerprint Verification Competition 2006
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