In order to improve the problem that blur of images resulting in worse robustness

a multi-biometric characteristic identification method is proposed based on dual mode fusion of palmprint and palm vein.Traditional linear binary pattern（LBP） is improved and a new feature extraction method called local LBP（LLBP） is proposed

the palmprint and palm vein image is divided into blocks

to form block LLBP（BLLBP）

feature fusion is implemented

matching is carried out by Hamming distance.The experiment databases are contact public database

self-built Poly U blur map storage and self-built SUT-D blur map storage respectively.The comparison experiments were implemented with the current typical approaches in this three databases.The result of experimental show that the method can obtain the lowest EER

which is 1.151 3 %

4.516 2 % and 7.043 9 % respectively.It shows that the method can further improve the security

robustness and recognition accuracy of identity recognition

which is feasible.