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This paper proposed the use of multi-instance feature level fusion as a meansto improve the performance of Finger Knuckle Print (FKP) verification. Alog-Gabor filter has been used to extract the image local orientationinformation, and represent the FKP features. Experiments are performed usingthe FKP database, which consists of 7,920 images. Results indicate that themulti-instance verification approach outperforms higher performance than usingany single instance. The influence on biometric performance using feature levelfusion under different fusion rules have been demonstrated in this paper.

Multibiometric: Feature Level Fusion Using FKP Multi-Instance biometric