RT info:eu-repo/semantics/article
T1 Acoustic Biometric System Based on Preprocessing Techniques and Linear Support Vector Machines
A1 Val Puente, Lara del
A1 Izquierdo Fuente, Alberto
A1 Villacorta Calvo, Juan José
A1 Raboso, Mariano
K1 acoustic biometric system; acoustic images; preprocessing techniques; support vector machine
AB Drawing on the results of an acoustic biometric system based on a MSE classifier, a new biometric system has been implemented. This new system preprocesses acoustic images, extracts several parameters and finally classifies them, based on Support Vector Machine (SVM). The preprocessing techniques used are spatial filtering, segmentation—based on a Gaussian Mixture Model (GMM) to separate the person from the background, masking—to reduce the dimensions of images—and binarization—to reduce the size of each image. An analysis of classification error and a study of the sensitivity of the error versus the computational burden of each implemented algorithm are presented. This allows the selection of the most relevant algorithms, according to the benefits required by the system. A significant improvement of the biometric system has been achieved by reducing the classification error, the computational burden and the storage requirements
PB MDPI
YR 2015
FD 2015
LK https://uvadoc.uva.es/handle/10324/67215
UL https://uvadoc.uva.es/handle/10324/67215
LA eng
NO Del Val, L.; Izquierdo-Fuente, A.; Villacorta, J.J.; Raboso, M. Acoustic Biometric System Based on Preprocessing Techniques and Linear Support Vector Machines. Sensors 2015, 15, 14241-14260. https://doi.org/10.3390/s150614241
DS UVaDOC
RD 08-ago-2024