Title :
A palmprint recognition algorithm using Principal Component Analysis of phase information
Author :
Iitsuka, Satoshi ; Miyazawa, Kazuyuki ; Aoki, Takafumi
Author_Institution :
Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan
Abstract :
This paper presents a palmprint recognition algorithm using principal component analysis (PCA) of phase information in 2D (two-dimensional) discrete Fourier transforms (DFTs) of palmprint images. To achieve highly robust palmprint recognition, the proposed algorithm (i) limits the frequency bandwidth, and (ii) averages phase spectra using multiple palmprint images captured from the same hand at an enrollment stage. Through a set of experiments, we demonstrate that the proposed method can significantly reduce computational cost without sacrificing recognition performance compared with our previous work using phase-only correlation (POC) - an image matching technique using the phase components in 2D DFTs of given images. Also, the resulting performance is much higher than those of conventional palmprint recognition algorithms which apply PCA to palmprint images, or phase spectra directly.
Keywords :
biometrics (access control); correlation methods; discrete Fourier transforms; image recognition; principal component analysis; discrete Fourier transform; frequency bandwidth; image matching; palmprint image; palmprint recognition; phase information; phase spectra; phase-only correlation; principal component analysis; Bandwidth; Biometrics; Computational efficiency; Discrete Fourier transforms; Feature extraction; Frequency; Image matching; Image recognition; Principal component analysis; Robustness; biometrics; palmprint recognition; phase information; principal component analysis;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413706