Palm-vein image segmentation method based on local gray minimum

There are the problems of inhomogeneous illumination,low-contrast and severe noise in the palm-vein image.This paper proposes a method for the palm-vein image segmentation automatically based on local gray minimum.This method avoids threshold selection and is able to solve the disturbances of inhomogeneous illumination,low contrast,and severe noise effectively.The results of the experiment taken in the palm-vein image database built by our laboratory prove that this method can restrain the influence that noise,inhomogeneous illumination and low contrast bring.In addition,it is better than all the latest palm-vein segmentation methods in the respect of extracting the palm-vein continuously and without selecting thresholds,etc.