A Multi-Modal Recognition System Using Face and Speech
Nowadays Person Recognition has got more and more interest especially for security reasons. The recognition performed by a biometric system using a single modality tends to be less performing due to sensor data, restricted degrees of freedom and unacceptable error rates. To alleviate some of these problems the authors use multimodal biometric systems which provide better recognition results. By combining different modalities, such them speech, face, fingerprint, etc., the authors increase the performance of recognition systems.