Aiming at the limitations of unimodal biometric identification,a recognition algorithm for multibiometric fusion based on hand vein and iris is proposed. To verify personal individual,the hand vein image and iris image are preprocessed,and then the feature codes of hand veins and iris are extracted from the detail images obtained using wavelet transform. The wavelet features of hand vein and iris are connected as a joint feature vector (JFV) at feature level fusion,and the minimum distance classifier is employed for feature matching in identity verification finally. The performance of the proposed method is tested using the TJU hand vein image database and the CASIA iris database. The result demonstrates that the recognition performance of the proposed method is obviously higher than that of single-biometric recognition algorithm,which provides new scientific thought for the further research on biometrics.