Intelligent Biometric Information Fusion using Support Vector Machine
Citations
176 citations
Cites background or methods from "Intelligent Biometric Information F..."
...In our previous research [12], we used 2ν-SVM for feature fusion, match score fusion, and expert fusion....
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...Further, several fusion algorithms have been proposed to fuse the information extracted from visible and LWIR face images at image level [8], [9], [10], [11], feature level [10], [11], [12], match score level [12], and decision level [12]....
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Cites background or methods from "Intelligent Biometric Information F..."
...In our previous research [5], we found that for multimodal fusion, 2ν-SVM provides better classification with lower time complexity compared to the classical SVM [20]....
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...Thus, verification based on unimodal biometric systems is not always reliable, and researchers have shown that the fusion of multiple biometric modalities generally provides higher verification performance [2]–[5]....
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...Existing biometric fusion algorithms such as sum rule [4] and support vector machine (SVM) fusion [5] yield good performance for some applications or under certain conditions but not universally for all scenarios....
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...In the literature, there are different forms of biometric information fusion [2], [4], [5]: single biometric–multiple representation, single biometric– multiple matchers, multiple biometrics–multiple representa-...
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References
266 citations
"Intelligent Biometric Information F..." refers methods in this paper
...Researchers have also proposed several other algorithms [2, 3 , 7, 8] for fusion at match score level and decision level....
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238 citations
"Intelligent Biometric Information F..." refers background in this paper
...Various researchers have suggested that no single biometric modality can provide the protection required for high security applications [1] - [ 4 ]....
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160 citations
"Intelligent Biometric Information F..." refers background or methods in this paper
...Fusion Algorithm Algorithm [40] Algorithm Algorithm [ 15 ]...
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...Several other researchers proposed algorithms based on Support Vector Machine (SVM) [14], fuzzy clustering [ 15 ] and radial basis neural network [6, 16] to fuse the information at different levels....
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...• Who are the experts and how reliable are the experts? • How does an administrator make the decision based on the opinions rendered by different experts? • How do we normalize the data? In [ 15 , 17, 41, 42], detailed experimental evaluations of multiple expert fusion algorithms are presented....
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...comparison among the proposed algorithms and the algorithms presented in [ 15 ] and [40]....
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...In this subsection, we compare the three proposed learning based fusion algorithms with the algorithms presented in [ 15 ] and [40]....
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156 citations