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Book ChapterDOI

Intelligent Biometric Information Fusion using Support Vector Machine

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The article was published on 2007-01-01. It has received 27 citations till now. The article focuses on the topics: Support vector machine & Biometrics.

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Citations
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Journal ArticleDOI

Integrated multilevel image fusion and match score fusion of visible and infrared face images for robust face recognition

TL;DR: An integrated image fusion and match score fusion of multispectral face images using [email protected] SVM and Dezert Smarandache theory of fusion which is based on plausible and paradoxical reasoning is presented.
Proceedings Article

EEG biometrics for individual recognition in resting state with closed eyes

TL;DR: The resting state with closed eyes acquisition protocol has been here used and deeply investigated by varying the employed electrodes configuration both in number and location for optimizing the recognition performance still guaranteeing sufficient user convenience.
Proceedings Article

Forensic biometrics: From two communities to one discipline

TL;DR: How the fields of biometrics and forensic science can contribute and benefit from each other is described to foster the development of new methods and tools improving the current forensic biometric applications and allowing for the creation of new ones.
Patent

Score fusion and training data recycling for video classification

TL;DR: In this article, a local expert forest model for meta-level score fusion for event detection is proposed, where performance variations of classifiers in different regions of a score space can be adapted.
Posted Content

Unification of Evidence Theoretic Fusion Algorithms: A Case Study in Level-2 and Level-3 Fingerprint Features

TL;DR: This paper formulates an evidence-theoretic multimodal unification approach using belief functions that take into account the variability in biometric image characteristics that is computationally efficient, and the verification accuracy is not compromised even when conflicting decisions are encountered.
References
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Proceedings ArticleDOI

Performance enhancement of 2D face recognition via mosaicing

TL;DR: Experiments conducted on a small dataset of 27 users indicate that face mosaicing as described in this paper offers significant benefits by accounting for the pose variations commonly observed in face images.
ReportDOI

The 2nu-SVM: A Cost-Sensitive Extension of the nu-SVM

TL;DR: It is demonstrated that the 2C-SVM and 2nu-S VM explore the same space of possible classifiers, and gives a clear understanding of the parameter space for both versions.
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