Dorsal Hand Vein Image Recognition: A Review

Abstract

Subcutaneous vascularization has become a new solution for identification management over the pastfew years. Systems based on dorsal hand veins are particularly promising for high-security settings. Thedorsal hand vein recognition system comprises the following steps: acquiring images from the databaseand preprocessing them, locating the region of interest, and extracting and recognizing information fromthe dorsal hand vein pattern. This paper reviewed several techniques for obtaining the dorsal hand veinarea and identifying a person. Therefore, this study just provides a comprehensive review of existingprevious theories. This model aims to offer the improvement in the accuracy rate of the system that wasshown in previous studies and to evaluate test samples and training samples for person identificationusing distance criteria or neural networks.