The aim of this paper, regarding multimodal biometric verification, is twofold: on the one hand, some score fusion strategies reported in the litera- ture are reviewed and, on the other hand, we compare experimentally a selec- tion of them using as monomodal,baseline experts: i) our face verification sys- tem based on a global face appearance representation scheme, ii) our minutiae- based fingerprint verification system, and iii) our on-line signature verification system based on HMM modeling of temporal functions, on the MCYT multi- modal database. A new strategy is also proposed and discussed in order to gen- erate a multimodal ,combined ,score by means ,of Support ,Vector Machine (SVM) classifiers from ,which ,user-independent and ,user-dependent fusion schemes,are derived and evaluated.