Aguará is a face recognition biometric system, integrated as a control access application.
For this purpose uses as biometric characteristic a digital image of the person.
In the first stage we studied several of the existing techniques that resolve the problem in controlled conditions.
In the second, a system based on local features is analyzed and implemented. The final algorithm uses Gabor filters to represent
faces inspired in EBGM.
A face image database was acquired simulating control access conditions. We developed a prototype that
succesfully resolves from real time image acquisition to final recognition decision.
Different alternatives were studied and the system was exhaustive evaluated with the standard FERET Database.
The performance is comparable with the most significant results on this base.
Aguará was born in October 2006, as the final grade project of Cecilia Aguerrebere, Germán
Capdehourat, Mauricio Delbracio and Matías Mateu in the IIE of the Facultad de Ingeniería, Universidad de
la República, Montevideo, Uruguay.