Superficial dorsal hand vein estimation

Abstract

Dorsal hand thermograms give crucial information about the temperature differences and radiation intensity so that it is possible to extract and estimate the hand veins through thermal images depending on how they were colorized. Similar with the finger veins and finger prints, the hand veins represent one of the characteristics of individuals as a unique trait in biometrics and bioinformatics. Although the hand vein identification systems are mostly based on various special equipment and illumination techniques, the dorsal hand veins could easily be recognized by thermal cameras. Therefore in this paper we propose a hand vein estimation and projection methodology for dorsal hand thermograms using anisotropic diffusion and maximum curvature method.