Enhanced Approach for Finger-Vein Extraction

Recently, recognition systems of finger vein have been used for personal identification. Finger vein is more promising than the existing biometric system in terms of security and convenience. However, accuracy may be reduced depending on the performance of the machine or the environment surrounding it. We propose an algorithm to improve recognition systems of finger vein. Extracted the finger vein apply the modified median filter and image expansion. The simulations used data from MMCBNU_6000 of Chungbuk National University and the performance were analyzed using the FAR, FRR, and EER.