Towards an Intelligent Multimodal Biometric Identification System

Samir Akrouf (1) , Abderraouf Bouziane (1, 2) , Abdennour H. Gharbi (3) , Messaoud Mostefai (1) , Youssef Chahir (4)

1 LMSE laboratory
2 GREYC - Groupe de Recherche en Informatique, Image et Instrumentation de Caen
3 UFAS1 - Université Ferhat-Abbas Sétif 1 [Sétif]
4 Equipe Image - Laboratoire GREYC - UMR6072

The goal of this project is to bring together and integrates the work of the laboratory team members in order to get a practical realization of an Intelligent Multimodal Biometric Identification System. This last exploits the vocal and visual properties of a person to carry out, her or his, identification. To improve classification performance, the system will have a virtual character module which can exchange information with the person to be identified according to a random survey (based on information provided previously). Our first objective is to equip our laboratory with a powerful access control system able to identify the members of the lab and follows them where ever they go helping them with all kind of information they may be in need to.

Mots clés: vocal Identification; Biometric identification; Multimodal classification; Detection of movements; facial recognition; vocal Identification.

Domaines: Traitement des images [eess.IV]

Samir Akrouf, Abderraouf Bouziane, Abdennour H. Gharbi, Messaoud Mostefai, Youssef Chahir. Towards an Intelligent Multimodal Biometric Identification System. IJCEE - International Journal of Computer and Electrical Engineering, 2010, 2 (6), pp.1001-1004. ⟨hal-00808345⟩