Finger knuckle bending produces a highly unique texture pattern and it can be used as a distinctive biometric identifier. This paper presents an access control and authorization technique based on an emerging biometric identifier, namely Finger Knuckle-Print (FKP), for personal identification. The image of the finger knuckle print is captured through reflected light by digital camera. Image captured is first enhanced to one extent and the ROI in the image selected by using the coordinate system. The ROI of the image is then used for the l1-norm sparse reconstruction.