Book ChapterDOI
Intelligent Biometric Information Fusion using Support Vector Machine
Richa Singh,Mayank Vatsa,Afzel Noore +2 more
- pp 325-349
About:
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.read more
Citations
More filters
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
Jingchen Liu,Scott McCloskey +1 more
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
More filters
Journal ArticleDOI
Multi-modal identity verification using expert fusion
TL;DR: This paper compares paradigms coming from the classes of parametric, and non-parametric techniques to solve the decision fusion problem encountered in the design of a multi-modal biometrical identity verification system.
Journal ArticleDOI
SESAM: A biometric person identification system using sensor fusion
TL;DR: The person authentication system SESAM is described, which combines three different biometric cues to reach robust identification and verification, and a field test is done to show that this approach leads to a reliable people authentication system.
Proceedings ArticleDOI
Multi-modal identity verification using support vector machines (SVM)
B. Gutschoven,Patrick Verlinde +1 more
TL;DR: The contribution of this paper is to formulate a decision fusion problem that is encountered in the design of a multi-modal identity verification system as a particular classification problem, and to solve this problem by using a support vector machine (SVM).
Proceedings ArticleDOI
Kernel-based multimodal biometric verification using quality signals
TL;DR: In this article, a kernel-based fusion strategy is presented based on SVM classifiers, trade-off coefficients introduced in the standard SVM training and testing procedures, and quality measures of the input biometric signals.
Book ChapterDOI
Person Authentication by Fusing Face and Speech Information
TL;DR: The EPFL-CONF-82406 instrument allows for high-resolution, 3D image analysis of the liquid-phase response of the eye and provides real-time information about the diffraction-gauging properties of the lens-like substance.