Palmprint and palm vein are emerging as unique biometric traits for identity authentication, each with its own advantages and limitations. Using these two traits jointly promises to enhance the discriminative and anti-spoofing capabilities. In this chapter, we propose a hybrid fusion method to leverage these two diverse features. Our method employs a two-stage recognition process. First, a dual likelihood ratio test for coarse recognition is designed to assign palms into imposter certainty, genuine certainty, or uncertainty classes. The coarse recognition narrows down the number of possible identities accurately using one trait, palm vein, consuming less recognition time. Then, in fine recognition, an adaptive weighted fusion of palmprint and palm vein is proposed to delicately re-recognize the uncertainty subsets that are in doubt in the coarse recognition, resulting in more discriminative capacities. Experimental results confirm the effectiveness of our method, showing improved recognition performance with high time efficiency.