TITLE:
A Study of Feature Stability of Contact-Less Imaging Based on Palm Vein
AUTHORS:
Weiqi Yuan, Wei Wu, Lantao Jing, Deqi Kong, Lili Wang
KEYWORDS:
Palm Vein; Contact-Less Imaging; Stability
JOURNAL NAME:
Engineering,
Vol.5 No.10B,
December
20,
2013
ABSTRACT: Palm vein hidden under the skin and its distribution feature is hard to
be stolen, which makes the palm vein recognition to be a high security
biometric authentication method. Contact-less palm vein imaging can avoid the spread of
disease, thus expanding the application range of palm vein biometric
authentication devices. However, due to the different un-derstanding of the right imaging
position and the change of fingers open degree, contact-less palm vein image
acquisi-tion
led to a certain degree of translation, rotation, scaling and shear, that is,
the image deformation. Image deformation causes the imaging feature unstable. In
this paper, the effect of image deformation to the stability of palm vein
features is studied by some similarity parameters. First, feature points in the
palm were marked, contact-less imaging and con-tact imaging of palm vein were acquired. Then, this
paper calculated the similarity parameters of the contact-less imag-ing to contact imaging and gave
corresponding analysis. Experimental results show that contact-less palm vein
imagingwas stable, and derived the linear regression
equation of relationship between sample space and the recognition rate: y =?0.000903x
+ 1.0332, coefficient of determination R2 = 0.9824. This research provided
effective and detailed data to the study of contact-less palm vein recognition
and gave powerful support to contact-less multi-feature fusion recogni-tion based on hand.