The Experts below are selected from a list of 199017 Experts worldwide ranked by ideXlab platform
Hakan Erdoğan - One of the best experts on this subject based on the ideXlab platform.
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Tübıtak UEKAE - Sabanci University NIST SRE 2010 Speaker Verification System
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU), 2011Co-Authors: Yusuf Ziya Işık, Mehmet Uğur Doğan, Hakan ErdoğanAbstract:NIST Speaker Recognition Evaluations (NIST SRE), played a major role in the progress of text-independent speaker Verification algorithms. Tübitak UEKAE - Sabancı University jointly participated in NIST SRE 2010. In this paper, the Gaussian Mixture Model Supervector - Support Vector Machine based speaker Verification System developed for NIST SRE 2010 has been presented. A recipe has been given for the training of Universal Background Model which is an essential step for System's performance. Results of the Nuisance Attribute Projection algorithm integrated to the System after evaluation to suppress the session variabilities has also been presented.
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tubitak uekae sabanci universitesi nist sre 2010 konusmaci dogrulama sistemi tubitak uekae sabanci university nist sre 2010 speaker Verification System
2011Co-Authors: Yusuf Ziya Işık, Mehmet Uğur Doğan, Hakan ErdoğanAbstract:NIST Speaker Recognition Evaluations (NIST SRE), played a major role in the progress of text-independent speaker Verification algorithms. Tubitak UEKAE - Sabanci University jointly participated in NIST SRE 2010. In this paper, the Gaussian Mixture Model Supervector - Support Vector Machine based speaker Verification System developed for NIST SRE 2010 has been presented. A recipe has been given for the training of Universal Background Model which is an essential step for System's performance. Results of the Nuisance Attribute Projection algorithm integrated to the System after evaluation to suppress the session variabilities has also been presented.
Loris Nanni - One of the best experts on this subject based on the ideXlab platform.
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a deformation invariant image based fingerprint Verification System
Neurocomputing, 2006Co-Authors: Loris Nanni, Alessandra LuminiAbstract:Abstract We show that it is possible to handle the problem of fingerprint deformation if the region of interest around the reference point is partitioned in smaller sub-images and each sub-image is used for creating a different template. The experiments show that our System outperforms the standard ‘FingerCode’ recognition method and other image-based approaches. Combining the matching score generated by the proposed technique with that obtained from a minutiae-based matcher results in an overall improvement in performance of the fingerprint matching.
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an on line signature Verification System based on fusion of local and global information
Lecture Notes in Computer Science, 2005Co-Authors: J Fierrezaguilar, Javier Ortegagarcia, Loris Nanni, Jaime Lopezpenalba, Davide MaltoniAbstract: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.
J Fierrezaguilar - One of the best experts on this subject based on the ideXlab platform.
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an on line signature Verification System based on fusion of local and global information
Lecture Notes in Computer Science, 2005Co-Authors: J Fierrezaguilar, Javier Ortegagarcia, Loris Nanni, Jaime Lopezpenalba, Davide MaltoniAbstract: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.
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a comparative evaluation of fusion strategies for multimodal biometric Verification
Lecture Notes in Computer Science, 2003Co-Authors: J Fierrezaguilar, Javier Ortegagarcia, Daniel Garciaromero, Joaquin GonzalezrodriguezAbstract:The aim of this paper, regarding multimodal biometric Verification, is twofold: on the one hand, some score fusion strategies reported in the literature are reviewed and, on the other hand, we compare experimentally a selection of them using as monomodal baseline experts: i) our face Verification System based on a global face appearance representation scheme, ii) our minutiae-based fingerprint Verification System, and iii) our on-line signature Verification System based on HMM modeling of temporal functions, on the MCYT multimodal database. A new strategy is also proposed and discussed in order to generate a multimodal combined score by means of Support Vector Machine (SVM) classifiers from which user-independent and user-dependent fusion schemes are derived and evaluated.
Yusuf Ziya Işık - One of the best experts on this subject based on the ideXlab platform.
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Tübıtak UEKAE - Sabanci University NIST SRE 2010 Speaker Verification System
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU), 2011Co-Authors: Yusuf Ziya Işık, Mehmet Uğur Doğan, Hakan ErdoğanAbstract:NIST Speaker Recognition Evaluations (NIST SRE), played a major role in the progress of text-independent speaker Verification algorithms. Tübitak UEKAE - Sabancı University jointly participated in NIST SRE 2010. In this paper, the Gaussian Mixture Model Supervector - Support Vector Machine based speaker Verification System developed for NIST SRE 2010 has been presented. A recipe has been given for the training of Universal Background Model which is an essential step for System's performance. Results of the Nuisance Attribute Projection algorithm integrated to the System after evaluation to suppress the session variabilities has also been presented.
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tubitak uekae sabanci universitesi nist sre 2010 konusmaci dogrulama sistemi tubitak uekae sabanci university nist sre 2010 speaker Verification System
2011Co-Authors: Yusuf Ziya Işık, Mehmet Uğur Doğan, Hakan ErdoğanAbstract:NIST Speaker Recognition Evaluations (NIST SRE), played a major role in the progress of text-independent speaker Verification algorithms. Tubitak UEKAE - Sabanci University jointly participated in NIST SRE 2010. In this paper, the Gaussian Mixture Model Supervector - Support Vector Machine based speaker Verification System developed for NIST SRE 2010 has been presented. A recipe has been given for the training of Universal Background Model which is an essential step for System's performance. Results of the Nuisance Attribute Projection algorithm integrated to the System after evaluation to suppress the session variabilities has also been presented.
Javier Ortegagarcia - One of the best experts on this subject based on the ideXlab platform.
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an on line signature Verification System based on fusion of local and global information
Lecture Notes in Computer Science, 2005Co-Authors: J Fierrezaguilar, Javier Ortegagarcia, Loris Nanni, Jaime Lopezpenalba, Davide MaltoniAbstract: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.
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a comparative evaluation of fusion strategies for multimodal biometric Verification
Lecture Notes in Computer Science, 2003Co-Authors: J Fierrezaguilar, Javier Ortegagarcia, Daniel Garciaromero, Joaquin GonzalezrodriguezAbstract:The aim of this paper, regarding multimodal biometric Verification, is twofold: on the one hand, some score fusion strategies reported in the literature are reviewed and, on the other hand, we compare experimentally a selection of them using as monomodal baseline experts: i) our face Verification System based on a global face appearance representation scheme, ii) our minutiae-based fingerprint Verification System, and iii) our on-line signature Verification System based on HMM modeling of temporal functions, on the MCYT multimodal database. A new strategy is also proposed and discussed in order to generate a multimodal combined score by means of Support Vector Machine (SVM) classifiers from which user-independent and user-dependent fusion schemes are derived and evaluated.
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a multilingual speaker Verification System architecture and performance evaluation
Language Resources and Evaluation, 2002Co-Authors: Javier F Caminerogil, Daniel Tapias, Joaquin Gonzalezrodriguez, Javier Ortegagarcia, Mercedes SolaAbstract:In this contribution we present a multilingual secure access front-end that checks the identity of the user of a service through the mobile, PSTN or the IP network (G.723, G.729). Our System prototype is based on speech recognition and speaker Verification technologies and it uses a decision mechanism to combine the outputs of both modules. The main objective of the System is to develop a product prototype that will increase the services access security with no increase of the service complexity. The System will initially work in six European Languages (Spanish, English, French, Catalan, Galician and Basque) even though the System architecture will easily allow the addition of new languages. Our System is being developed through a Trial EC project called SAFE. (*) http://www.atvs.diac.upm.es/safe/
