Challenges of Finger Vein Verification System: A Theoretical Perspective

Finger vein verification system has become an encouraging biometric framework for human recognition in relations of identification, validation, and acknowledgment. Notwithstanding, the low quality of images due to distorted vein pattern and vein substance diminishes the effectiveness of finger vein verification system. In this way, finger vein images should in principle be improved for finger vein verification system. For efficiency of verification to be attained, segmentation of the region of interest (ROI) of the finger vein image is carried out and enhancement of the finger vein pattern were valued. Along these lines, individual verification system and operation of finger vein verification were as well examined. The arrangement structure for fathoming the difficulties of the finger vein pattern utilizing k-mean classification technique is recommended. The recommended algorithm estimates the value of the enhanced vein image, which produces improved vein features. The recommended approach efficiently classifies the finger vein pattern based on the extracted features and improves finger vein verification system.