Now a days,A biometrics techniques such as ﬁngerprints,palm prints,faces and irises recognition have been widely used in many different applications such as door access control system ,a secure personal authentication for computers,online banking, automatic teller machines for transaction and border-crossing controls system. but The research on ﬁnger vein recognition or authentication technology has become a new hot spot due to its superior security features and user acceptance in recent years.As Finger vein recognition uses the unique patterns of ﬁnger veins images to identify individuals at a high level of accuracy and security.The major concern in a Biometric Identiﬁcation System is its accuracy. In spite of the improvements in image acquisition and image processing techniques, the amount of research still being carried out in person veriﬁcation and identiﬁcation show that a recognition system which gives 0 percentage FAR (False Acceptance Rate) and FRR (False Rejection Rate) is still not a reality.In this work, we propose to formulate the framework for the ﬁnger vein feature extraction using multi-orientation Gabor ﬁlters. The morphological operations are further employed to enhance the extracted vein structures. The proposed method extracts the ﬁnger-vein pattern from the unclear image by using Gabor ﬁlter.Hence This paper will gives a new approach or technique to improve the performance of ﬁnger vein identiﬁcation systems which is presented in the literature.