This paper aims at comparing Support Vector Machines with Gaussian kernels to Hyper Basis Functions networks, a variant of Regularization Networks, with a small number of units. The comparison is performed on the task of personal identity verification using dorsal images of fingers, coupling geometrical and textural information

A Classification Case Study: People Identity Verification Based on Finger Matching

Brunelli, Roberto
2004-01-01

Abstract

This paper aims at comparing Support Vector Machines with Gaussian kernels to Hyper Basis Functions networks, a variant of Regularization Networks, with a small number of units. The comparison is performed on the task of personal identity verification using dorsal images of fingers, coupling geometrical and textural information
2004
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/2538
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