A palmprint recognition algorithm using principal component analysis of phase information

Satoshi Iitsuka; Kazuyuki Miyazawa; Takafumi Aoki

doi:10.1109/ICIP.2009.5413706

A palmprint recognition algorithm using principal component analysis of phase information

Satoshi Iitsuka, Kazuyuki Miyazawa, Takafumi Aoki

Leadership

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

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.

Original language	English
Title of host publication	2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
Publisher	IEEE Computer Society
Pages	1973-1976
Number of pages	4
ISBN (Print)	9781424456543
DOIs	https://doi.org/10.1109/ICIP.2009.5413706
Publication status	Published - 2009 Jan 1
Event	2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt Duration: 2009 Nov 7 → 2009 Nov 10

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Other

Other	2009 IEEE International Conference on Image Processing, ICIP 2009
Country	Egypt
City	Cairo
Period	09/11/7 → 09/11/10

Keywords

Biometrics
Palmprint recognition
Phase information
Principal component analysis

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

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Cite this

Iitsuka, S., Miyazawa, K., & Aoki, T. (2009). A palmprint recognition algorithm using principal component analysis of phase information. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (pp. 1973-1976). [5413706] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5413706

A palmprint recognition algorithm using principal component analysis of phase information. / Iitsuka, Satoshi; Miyazawa, Kazuyuki; Aoki, Takafumi.

2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society, 2009. p. 1973-1976 5413706 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Iitsuka, S, Miyazawa, K & Aoki, T 2009, A palmprint recognition algorithm using principal component analysis of phase information. in 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings., 5413706, Proceedings - International Conference on Image Processing, ICIP, IEEE Computer Society, pp. 1973-1976, 2009 IEEE International Conference on Image Processing, ICIP 2009, Cairo, Egypt, 09/11/7. https://doi.org/10.1109/ICIP.2009.5413706

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