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A robust face and ear based multimodal biometric system using sparse representation
TLDR
We develop a robust multimodal biometric system using Sparse Representation (SR), which integrates the face and ear at feature level, and can effectively adjust the fusion rule based on reliability difference between the modalities. Expand
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An adaptive bimodal recognition framework using sparse coding for face and ear
TLDR
We propose an adaptive face and ear based bimodal recognition framework using sparse coding, namely ABSRC, which can effectively reduce the adverse effect of degraded modality. Expand
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Frameworks for Multimodal Biometric Using Sparse Coding
TLDR
We introduce three frameworks for multimodal biometric using sparse representation based classification (SRC), which has been successfully used in many classification tasks recently. Expand
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Almost periodic solution of impulsive Hopfield neural networks with finite distributed delays
TLDR
This paper investigates the existence and stability of a discontinuous almost periodic solution of impulsive Hopfield neural networks with finite distributed delays and periodic impulses, using fixed point theorems, Lyapunov functional, and some inequality techniques. Expand
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An improved SOM algorithm and its application to color feature extraction
TLDR
This paper presents an improved self-organization map (SOM) algorithm and its application to color feature extraction from images. Expand
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Structure regularized sparse coding for data representation
TLDR
In this paper, we propose a novel method called structure regularized sparse coding (SRSC) for the sparse representation of the data in the unsupervised scenario. Expand
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Ear detection using fully convolutional networks
TLDR
We proposed a method based on fully convolutional neural network for human ear detection called FCNED. Expand
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Study on Sparse Representation based Classification for Biometric Verification
TLDR
In this paper, we propose a multimodal verification system integrating face and ear based on sparse representation based classification (SRC). Expand
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Minimum class variance support vector ordinal regression
TLDR
The support vector ordinal regression (SVOR) method is derived from support vector machine and developed to tackle the Ordinal regression problems. Expand
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Improve the Spoofing Resistance of Multimodal Verification with Representation-Based Measures
TLDR
We use the collaborative representation fidelity with non-target subjects to measure the affinity of a query sample to the claimed client and train a support vector machine classifier. Expand
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