Palmprint Identification using Gabor Wavelet Probabilistic Neural Networks

In this paper, a novel algorithm for automatic palmprint identification based on Gabor wavelet probabilistic neural networks (GWPNN) is proposed, which incorporating advantages of Gabor wavelet network (GWN) and probabilistic neural networks (PNN). We first construct a GWN model for each individual palmprint and then combine it with PNN in a unified framework that aims to significantly improve the discriminant capability for palmprint recognition. In our experiments, the accuracy identification rate can reach 99.5% on the database that contains 1,971 image samples. It demonstrates that proposed algorithm is effective and robust

[1]  Qi Tian,et al.  Gabor wavelet associative memory for face recognition , 2005, IEEE Trans. Neural Networks.

[2]  Volker Krüger,et al.  Gabor Wavelet Networks for Object Representation , 2000, Theoretical Foundations of Computer Vision.

[3]  David Zhang,et al.  Palmprint Identification by Fourier Transform , 2002, Int. J. Pattern Recognit. Artif. Intell..

[4]  David Zhang,et al.  Characterization of palmprints by wavelet signatures via directional context modeling , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[5]  Andrew Beng Jin Teoh,et al.  An automated palmprint recognition system , 2005, Image Vis. Comput..

[6]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  Chin-Chuan Han,et al.  Personal authentication using palm-print features , 2003, Pattern Recognit..

[8]  David Zhang,et al.  Palmprint feature extraction using 2-D Gabor filters , 2003, Pattern Recognit..

[9]  David Zhang,et al.  Palmprint recognition using eigenpalms features , 2003, Pattern Recognit. Lett..

[10]  David Zhang,et al.  Fisherpalms based palmprint recognition , 2003, Pattern Recognit. Lett..

[11]  Jun Chen,et al.  Palmprint recognition using crease , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[12]  Wee Ser,et al.  Probabilistic neural-network structure determination for pattern classification , 2000, IEEE Trans. Neural Networks Learn. Syst..

[13]  David Zhang,et al.  Two novel characteristics in palmprint verification: datum point invariance and line feature matching , 1999, Pattern Recognit..