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
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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
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
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Proceedings ArticleDOI
Combining classifiers for face recognition
TL;DR: This work uses the sum rule and RBF-based integration strategies to combine three commonly used face classifiers based on PCA, ICA and LDA representations and shows that the proposed classifier combination approaches outperform individual classifiers.
Journal ArticleDOI
N-folded symmetries by complex moments in Gabor space and their application to unsupervised texture segmentation
Josef Bigun,J. M. H. du Buf +1 more
TL;DR: Complex moments of the Gabor power spectrum yield estimates of the N-folded symmetry of the local image content at different frequency scales, that is, they allow to detect linear, rectangular, hexagonal/triangular, and so on, structures with very fine to very coarse resolutions as discussed by the authors.
Proceedings ArticleDOI
Statistical feature fusion for gait-based human recognition
TL;DR: A novel approach for human recognition by combining statistical gait features from real and synthetic templates, which achieves better performance than individual approaches, but also provides large improvement in performance with respect to the baseline algorithm.
Journal ArticleDOI
Combining evidence in personal identity verification systems
TL;DR: A methodology for fusing multiple instances of biometric data to improve the performance of a personal identity verification system is developed and it is shown that the fusion based on rank order statistic, i.e., the median, is robust to outliers.
Proceedings ArticleDOI
Infrared and visible image fusion for face recognition
TL;DR: Results show substantial improvements in recognition performance overall, suggesting that the idea of fusing IR with visible images for face recognition deserves further consideration.