Single biometric modality recognition is not able to meet the high performance supplies in most cases with its application become more and more broadly. Multimodal biometrics identification represents an emerging trend recently. This paper investigates a novel algorithm based on fusion of both fingerprint and fingervein biometrics. For both biometric recognition, we employ the Monogenic Local B...

We study the recovery of functions in real spline spaces from unsigned sampled values. consider two types recovery. The one is to recover locally finitely many samples. And other on whole line infinitely In both cases, we give characterizations for a set points be phaseless sampling set, at which any nonseparable function determined up sign an interval or by its Moreover, case local recovery, a...

A novel strategy that combines a given collection of -reversible Markov kernels is proposed. At each transition, one the available selected via state-dependent probability distribution. In contrast to random-scan type approaches assume constant (i.e., state-independent) selection distribution, distribution specified so as privilege moving according kernel which relevant for local geometry targe...

Particle swarm optimization (PSO) has been shown to perform well on many optimization problems. However, the PSO algorithm often can not find the global optimum, even for unimodal functions. It is necessary to study the local search ability of PSO. The interval compression method and the probabilistic characteristic of the searching interval of particles are used to analyze the local search abi...