Person identification based on barefoot 3D sole shape

Abstract

In this paper we report on person identification based on the three-dimensional shape of the human foot sole. After acquisition of 3D foot sole data with a laser scanner, data normalization is performed and person identification is carried out using principal component analysis (PCA) and linear discriminant analysis (LDA) in conjunction with 1-NN classification, and support vector machines (SVM) in conjunction with output value thresholding. The obtained high identification and rejection rates indicate that the 3D foot sole shape of the human bare foot is adequate for person identification. © 2008 Springer-Verlag Berlin Heidelberg.