It is imperative to develop bimodal ve rification fusing palmprint and palmvein,which has high verification accuracy,go od practicability and strong anti-spoof ability.2D-PalmHash code (2DPHC),as a novel cancelable palmprint verification coding scheme,overcomes the secure vulnerabil ities and privacy problems of direct usage of original palmprint features.The framework of 2DPHC can be gener alized to cancelable palmvein. Cancelable palm-print-vein verification can be achieved by fusing 2DPHCs of pa lmprint and palmvein. In order to prevent the increase of computational cost and template data size in bimodal ver ification,it is necessary to effectively select the orientations,along which the palmprint and palmvein temp lates are generated. In each model biometric,2DPHCs are generated along four orientations,and the covariances betwe en the matching scores of the four 2DPHCs are calculated. According to “small covariance” selection rule,tw o 2DPHCs with minimum covariance are respectively selected from palmprint and palmvein as cancelable c onjugate templates.The matching scores of the templates are fused with mean rule for cancelable conjugate verifi cation.Compared with the rule of “verification accuracy sequencing”,the “small covariance” rule for orientati on selection can suppress the variance of the fused matching score more effectively,and accordingly achieve higher conjug ate verification accuracy.