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A novel multilevel level fusion of palmprint and dorsal hand vein is developed in this work. First feature level fusion is done on left and right hand palmprint to get feature fused vector (FFV). Next, the scores of FFV and veins are calculated and score level fusion is done in order to identify person. Hence both the feature level as well as score level fusion techniques have been used in a hybrid fashion. In the present work, feature fusion rules have been proposed to control the dimension of FFV. For palmprint, IIT Delhi Palmprint Image Database version 1.0 is used which has been acquired using completely touchless imaging setup. In this feature level fusion of both left and right hand is used. For dorsal hand veins, Bosphorus Hand Vein Database is used because of the stability and uniqueness of hand vein patterns. The improvement of results verify the success of our approach of multilevel level fusion.