A biomedical system based on hidden Markov model for diagnosis of the heart valve diseases
Pattern Recognition Letters
View invariant head recognition by Hybrid PCA based reconstruction
Integrated Computer-Aided Engineering
Independent component analysis and nongaussianity for blind image deconvolution and deblurring
Integrated Computer-Aided Engineering
A new K-View algorithm for texture image classification using rotation-invariant feature
Proceedings of the 2009 ACM symposium on Applied Computing
Robust palmprint verification using 2D and 3D features
Pattern Recognition
Palmprint recognition using 3-D information
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
Behavioral Biometrics For Human Identification: Intelligent Applications
Behavioral Biometrics For Human Identification: Intelligent Applications
Three Dimensional Palmprint Recognition Using Linear Discriminant Analysis Method
IBICA '11 Proceedings of the 2011 Second International Conference on Innovations in Bio-inspired Computing and Applications
3-D Palmprint Recognition With Joint Line and Orientation Features
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
A wavelet-based particle swarm optimization algorithm for digital image watermarking
Integrated Computer-Aided Engineering - Anniversary Volume: Celebrating 20 Years of Excellence
Maximum likelihood motion compensation for distributed video coding
Integrated Computer-Aided Engineering
Improving fusion with optimal weight selection in Face Recognition
Integrated Computer-Aided Engineering
An intelligent route management system for electric vehicle charging
Integrated Computer-Aided Engineering
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Biometric systems based on a single source of information suffer from limitations such as the lack of uniqueness, non-universality of the chosen biometric trait, noisy data and spoof attacks. Multimodal biometrics are relatively new systems that overcome those problems. These systems fuse information from multiple sources in order to achieve the better person recognition performance. In this paper, the 2D and 3D information of palmprint are integrated in order to construct an efficient multimodal biometric system based on fusion at matching score level and at feature extraction level. The observation vectors are created independently either from the original data of the two modalities 2D and 3D palmprint or from their rotation invariant variance measures applied on textures. On each modality or its corresponding invariant texture, we have applied the Principal Component Analysis PCA for reducing dimension of the feature vector. We have also used the multi-scale wavelet decomposition for each modality and the results of decomposition are combined and compressed using PCA for selecting the feature vectors. Subsequently, we have used the Hidden Markov Model HMM for modeling the feature vectors. Finally, Log-likelihood scores are used for palmprint evaluation. We note that the selected principal components of two modalities are fused at feature level and at matching score level. The proposed scheme is tested and evaluated using PolyU 2D and 3D palmprint database of 250 persons. Our experimental results show the effectiveness and reliability of the proposed system, which brings high identification accuracy rate.