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Journal ArticleDOI

MCYT baseline corpus: a bimodal biometric database

TL;DR: The main purpose has been to consider a large scale population, with statistical significance, in a real multimodal procedure, and including several sources of variability that can be found in real environments.
Abstract: The current need for large multimodal databases to evaluate automatic biometric recognition systems has motivated the development of the MCYT bimodal database. The main purpose has been to consider a large scale population, with statistical significance, in a real multimodal procedure, and including several sources of variability that can be found in real environments. The acquisition process, contents and availability of the single-session baseline corpus are fully described. Some experiments showing consistency of data through the different acquisition sites and assessing data quality are also presented.
Citations
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Journal ArticleDOI
TL;DR: This survey aims at providing multimedia researchers with a state-of-the-art overview of fusion strategies, which are used for combining multiple modalities in order to accomplish various multimedia analysis tasks.
Abstract: This survey aims at providing multimedia researchers with a state-of-the-art overview of fusion strategies, which are used for combining multiple modalities in order to accomplish various multimedia analysis tasks. The existing literature on multimodal fusion research is presented through several classifications based on the fusion methodology and the level of fusion (feature, decision, and hybrid). The fusion methods are described from the perspective of the basic concept, advantages, weaknesses, and their usage in various analysis tasks as reported in the literature. Moreover, several distinctive issues that influence a multimodal fusion process such as, the use of correlation and independence, confidence level, contextual information, synchronization between different modalities, and the optimal modality selection are also highlighted. Finally, we present the open issues for further research in the area of multimodal fusion.

1,019 citations

Journal ArticleDOI
01 Sep 2008
TL;DR: This paper presents the state of the art in automatic signature verification and addresses the most valuable results obtained so far and highlights the most profitable directions of research to date.
Abstract: In recent years, along with the extraordinary diffusion of the Internet and a growing need for personal verification in many daily applications, automatic signature verification is being considered with renewed interest. This paper presents the state of the art in automatic signature verification. It addresses the most valuable results obtained so far and highlights the most profitable directions of research to date. It includes a comprehensive bibliography of more than 300 selected references as an aid for researchers working in the field.

688 citations


Cites background from "MCYT baseline corpus: a bimodal bio..."

  • ...the same time and to allow very natural writing since an almost standard pen and paper are used [106], [239]....

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  • ...Some of the most important examples are the MCYT [239] and MYIDEA [69] signature...

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  • ...Some of the most important examples are the MCYT [239] and MYIDEA [69] signature databases, which contain both online and offline data; the BIOMET [106], Philips [63], and SVC2004 [360] databases of online signatures; the GPDS [91] database of offline signatures; and the Caltech [207]–[209], [211] database obtained by using cameras....

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Book ChapterDOI
03 Dec 2011
TL;DR: The acquisition and content of a new homologous multimodal biometric database are presented and the database is available to research community through http://mla.sdu.edu.cn/sdumla-hmt.
Abstract: In this paper, the acquisition and content of a new homologous multimodal biometric database are presented The SDUMLA-HMT database consists of face images from 7 view angles, finger vein images of 6 fingers, gait videos from 6 view angles, iris images from an iris sensor, and fingerprint images acquired with 5 different sensors The database includes real multimodal data from 106 individuals In addition to database description, we also present possible use of the database The database is available to research community through http://mlasdueducn/sdumla-hmthtml

360 citations


Cites background from "MCYT baseline corpus: a bimodal bio..."

  • ...BANCA [6] and XM2VTS [7] include face and voice; MYCT [8] includes fingerprint and signature....

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Book ChapterDOI
TL;DR: It is shown experimentally that the machine expert based on local information outperforms the system based on global analysis when enough training data is available and it is found that global analysis is more appropriate in the case of small training set size.
Abstract: An on-line signature verification system exploiting both local and global information through decision-level fusion is presented. Global information is extracted with a feature-based representation and recognized by using Parzen Windows Classifiers. Local information is extracted as time functions of various dynamic properties and recognized by using Hidden Markov Models. Experimental results are given on the large MCYT signature database (330 signers, 16500 signatures) for random and skilled forgeries. Feature selection experiments based on feature ranking are carried out. It is shown experimentally that the machine expert based on local information outperforms the system based on global analysis when enough training data is available. Conversely, it is found that global analysis is more appropriate in the case of small training set size. The two proposed systems are also shown to give complementary recognition information which is successfully exploited using decision-level score fusion.

355 citations


Cites methods from "MCYT baseline corpus: a bimodal bio..."

  • ...A subcorpus of the larger MCYT bimodal database [26] is used for the experiments....

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  • ...Future work includes the evaluation of the proposed system on the full MCYT database [26] and the exploitation of the revealed user-dependencies either by using a trained fusion strategy [32], [33] or by using target-dependent score normalization techniques [30]....

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Journal ArticleDOI
TL;DR: This work documents methods for the quantitative evaluation of systems that produce a scalar summary of a biometric sample's quality, motivated by a need to test claims that quality measures are predictive of matching performance.
Abstract: We document methods for the quantitative evaluation of systems that produce a scalar summary of a biometric sample's quality. We are motivated by a need to test claims that quality measures are predictive of matching performance. We regard a quality measurement algorithm as a black box that converts an input sample to an output scalar. We evaluate it by quantifying the association between those values and observed matching results. We advance detection error trade-off and error versus reject characteristics as metrics for the comparative evaluation of sample quality measurement algorithms. We proceed this with a definition of sample quality, a description of the operational use of quality measures. We emphasize the performance goal by including a procedure for annotating the samples of a reference corpus with quality values derived from empirical recognition scores

338 citations


Cites methods from "MCYT baseline corpus: a bimodal bio..."

  • ...[6] reviewed five algorithms and used the fingerprints of the multimodal MCYT corpus [7] to compare the distributions of the algorithms’ quality assignments with the result that most of the algorithms behave similarly....

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References
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Proceedings Article
01 Jan 1997
TL;DR: The DET Curve is introduced as a means of representing performance on detection tasks that involve a tradeoff of error types and why it is likely to produce approximately linear curves.
Abstract: : We introduce the DET Curve as a means of representing performance on detection tasks that involve a tradeoff of error types. We discuss why we prefer it to the traditional ROC Curve and offer several examples of its use in speaker recognition and language recognition. We explain why it is likely to produce approximately linear curves. We also note special points that may be included on these curves, how they are used with multiple targets, and possible further applications.

1,516 citations

01 Jan 1999
TL;DR: This poster presents a poster presenting a probabilistic procedure for estimating the response of the immune system to laser-spot assisted surgery to treat central giant cell granuloma.
Abstract: Keywords: vision Reference EPFL-CONF-82502 URL: ftp://ftp.idiap.ch/pub/papers/vision/avbpa99.pdf Record created on 2006-03-10, modified on 2017-05-10

1,420 citations

Journal ArticleDOI
TL;DR: This work states that the FVC2000 protocol, databases, and results will be useful to all practitioners in the field not only as a benchmark for improving methods, but also for enabling an unbiased evaluation of algorithms.
Abstract: Reliable and accurate fingerprint recognition is a challenging pattern recognition problem, requiring algorithms robust in many contexts. FVC2000 competition attempted to establish the first common benchmark, allowing companies and academic institutions to unambiguously compare performance and track improvements in their fingerprint recognition algorithms. Three databases were created using different state-of-the-art sensors and a fourth database was artificially generated; 11 algorithms were extensively tested on the four data sets. We believe that FVC2000 protocol, databases, and results will be useful to all practitioners in the field not only as a benchmark for improving methods, but also for enabling an unbiased evaluation of algorithms.

815 citations

Proceedings ArticleDOI
23 May 1989
TL;DR: The authors present two simple tests for deciding whether the difference in error rates between two algorithms tested on the same data set is statistically significant.
Abstract: The authors present two simple tests for deciding whether the difference in error rates between two algorithms tested on the same data set is statistically significant. The first (McNemar's test) requires the errors made by an algorithm to be independent events and is found to be most appropriate for isolated-word algorithms. The second (a matched-pairs test) can be used even when errors are not independent events and is more appropriate for connected speech. >

715 citations

Journal ArticleDOI
TL;DR: Experiments on a database containing a total of 1232 signatures of 102 individuals show that writer-dependent thresholds yield better results than using a common threshold.

595 citations