A Multi-Modal Recognition System Using Face and Speech
| Autor: | Akrouf, Samir, Belayadi, Yahia, Mostefai, Messaoud, Chahir, Youssef |
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| Přispěvatelé: | LMSE laboratory, Bordj Bou Arréridj University, Equipe Image - Laboratoire GREYC - UMR6072, Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC), Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU)-Normandie Université (NU)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Ingénieurs de Caen (ENSICAEN), Normandie Université (NU), Queau, Yvain |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: | |
| Zdroj: | International Journal of Computer Science Issues International Journal of Computer Science Issues, IJCSI Press, 2011, 8 (3), pp.1694-0814 |
| ISSN: | 1694-0784 1694-0814 |
| Popis: | International audience; 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 we use multimodal biometric systems which provide better recognition results. By combining different modalities, such us speech, face, fingerprint, etc., we increase the performance of recognition systems. In this paper, we study the fusion of speech and face in a recognition system for taking a final decision (i.e., accept or reject identity claim). We evaluate the performance of each system differently then we fuse the results and compare the performances. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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