Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Signal and image processing with neural networks: a C++ sourcebook
Signal and image processing with neural networks: a C++ sourcebook
Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society
Person Identification Using Multiple Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Evidence in Multimodal Personal Identity Recognition Systems
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
Open Sesame! Speech, Password or Key to Secure Your Door?
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume I - Volume I
Denial of Access in Biometrics-Based Authentication Systems
InfraSec '02 Proceedings of the International Conference on Infrastructure Security
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Multi-Modal 2D and 3D Biometrics for Face Recognition
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Proceedings of the 5th international conference on Multimodal interfaces
Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
Audio-visual multimodal fusion for biometric person authentication and liveness verification
MMUI '05 Proceedings of the 2005 NICTA-HCSNet Multimodal User Interaction Workshop - Volume 57
Multimodal biometrics: state of the art in fusion techniques
International Journal of Biometrics
Face-Voice authentication based on 3d face models
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Multimodal speaker verification using ear image features extracted by PCA and ICA
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
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In this paper, a hybrid person authentication prototype integrating multiple biometric devices is presented. This prototype is based on several levels of abstractions: data representations, vectors and classifiers. Frontal face and text-dependent voice biometrics are chosen to authenticate a user. For each of the biometric feature, an extractor, a classifier and a simple negotiation scheme have been designed. An extractor is made up of a sequence of operators which themselves are made up of signal processing and image processing algorithms. The face information is extracted using moments and the short speech information is extracted using wavelets. The extracted information, c alled v ectors, is classified using two separate multi-layer perceptrons. The results are combined using a simple logical negotiation scheme. The prototype has been tested and evaluated on real-life databases.