Journal ArticleDOI
Likelihood Ratio-Based Biometric Score Fusion
TLDR
Experiments on three multibiometric databases indicate that the proposed fusion framework achieves consistently high performance compared to commonly used score fusion techniques based on score transformation and classification.Abstract:
Multibiometric systems fuse information from different sources to compensate for the limitations in performance of individual matchers. We propose a framework for the optimal combination of match scores that is based on the likelihood ratio test. The distributions of genuine and impostor match scores are modeled as finite Gaussian mixture model. The proposed fusion approach is general in its ability to handle 1) discrete values in biometric match score distributions, 2) arbitrary scales and distributions of match scores, 3) correlation between the scores of multiple matchers, and 4) sample quality of multiple biometric sources. Experiments on three multibiometric databases indicate that the proposed fusion framework achieves consistently high performance compared to commonly used score fusion techniques based on score transformation and classification.read more
Citations
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Proceedings ArticleDOI
Fusion of colour and facial features for person matching in a camera network
Pankaj Kumar,Kutluyil Dogancay +1 more
TL;DR: The idea of fusing information from facial features and colour intensity of a person for the purpose of matching targets across cameras with non-overlapping field of views in a camera sensor network is proposed.
Journal ArticleDOI
Enhanced Action Recognition Using Multiple Stream Deep Learning with Optical Flow and Weighted Sum.
TL;DR: A novel action recognition method that improves the existing method using optical flow and a multi-stream structure and outperformed many state-of-the-art methods without changing the network structure and it is expected to be easily applied to other networks.
A Multimodal Fusion Algorithm Based on FRR and FAR Using SVM
TL;DR: In this paper, the authors proposed a novel fusion algorithm based on False Reject Rate (FRR) and False Accept Rate (FAR) using Support Vector Machine (SVM).
Proceedings ArticleDOI
Multimodal biometric system based on hand geometry, palmprint and signature
TL;DR: The aim of this paper is to exploit the best possible combinations of hand geometry, palmprint and offline signatures for multimodal biometric systems by integrating the information at score level fusion.
References
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