Sistema de reconocimiento de rostros usando visión estéreo

Abstract

This paper proposes a biometric system using stereo images to improve the security performance of conventional face recognition systems, by discriminating between 3D real and forged 2D faces images, using the tridimensional information provided by the stereo images. Once the system determines that the face under analysis is an authentic 3D image, each stereo image is characterized and independently processed using three feature extraction methods. Then a fusion method is required to combine the information of both images. To this end three fusion methods are analyzed to achieve a more robust face recognition system. The experimental results show that by performing the fusion of the data extracted by wavelet transform, before going to the classification step, better results are obtained.