Title :
Gabor-based kernel PCA for palmprint recognition
Author :
Ekinci, M. ; Aykut, M.
Author_Institution :
Karadeniz Tech. Univ., Trabzon
Abstract :
A novel Gabor-based kernel principal component analysis (PCA) method by integrating the Gabor wavelet representation of palm images and the kernel PCA method for palmprint recognition is proposed. The feasibility of the proposed method has been successfully tested on two different public data sets from the PolyU palmprint databases, for which the samples were collected in two different sessions.
Keywords :
biometrics (access control); image recognition; principal component analysis; Gabor wavelet representation; palmprint recognition; principal component analysis; public data sets;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20071688
