A new approach to fake finger detection based on skin elasticity analysis

Abstract

This work introduces a new approach to fake finger detection, based on the analysis of human skin elasticity. When a user puts a finger on the scanner surface, a sequence of fingerprint images which describes the finger deformation process is captured. Then two features which represent the skin elasticity are extracted from the image sequence: 1) the correlation coefficient of the fingerprint area and the signal intensity; 2) the standard deviation of the fingerprint area extension in x and y axes. Finally the Fisher Linear Discriminant is used to discriminate the finger skin from other materials such as gelatin. The experiments carried out on a dataset of real and fake fingers show that the proposed approach and features are effective in fake finger detection. © Springer-Verlag Berlin Heidelberg 2007.