Book ChapterDOI
Identity retrieval in biometric access control systems using multimedia fusion
Girija Chetty,Renuka Biswas,Julian Goodwin +2 more
- pp 590-597
TLDR
A novel multimedia sensor fusion approach based on heterogeneous sensors for biometric access control applications that uses multiple acoustic and visual sensors for extracting dominant biometric cues, and combines them with nondominant cues.Abstract:
In this paper, we propose a novel multimedia sensor fusion approach based on heterogeneous sensors for biometric access control applications. The proposed fusion technique uses multiple acoustic and visual sensors for extracting dominant biometric cues, and combines them with nondominant cues. The performance evaluation of the proposed fusion protocol and a novel cascaded authentication approach using a 3D stereovision database shows a significant improvement in performance and robustness.read more
Citations
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Proceedings ArticleDOI
Modeling biometric template update with Ant Colony Optimization
TL;DR: A novel template update algorithm based on the semi-supervised learning algorithm Aggregation Pheromone Density Based Semi-Supervised Classification (APSSC) that is inspired by the social behaviour of ants is presented.
A swarm intelligence approach for biometrics verification and identification
TL;DR: The results show that APC outperforms ``traditional'' techniques -- like 1-nearest-neighbour and Support Vector Machines -- and show that performance of APC are comparable to several state of the art face verification algorithms.
References
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Recent advances in the automatic recognition of audiovisual speech
TL;DR: The main components of audiovisual automatic speech recognition (ASR) are reviewed and novel contributions in two main areas are presented: first, the visual front-end design, based on a cascade of linear image transforms of an appropriate video region of interest, and subsequently, audiovISual speech integration.
Journal ArticleDOI
Person identification using multiple cues
TL;DR: A novel technique for the integration of multiple classifiers at an hybrid rank/measurement level is introduced using HyperBF networks and two different methods for the rejection of an unknown person are introduced.
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Optimal feature level fusion for secured human authentication in multimodal biometric system
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