Performance improvement of phase-based correspondence matching for palmprint recognition

Vincent Roux; Shoichiro Aoyama; Koichi Ito; Takafumi Aoki

doi:10.1109/CVPRW.2014.16

Performance improvement of phase-based correspondence matching for palmprint recognition

Vincent Roux, Shoichiro Aoyama, Koichi Ito, Takafumi Aoki

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

11 Citations (Scopus)

Abstract

The use of phase-based correspondence matching for biometric recognition makes it possible to find corresponding point pairs between images having nonlinear deformation. On the other hand, the optimal recognition performance cannot be exhibited due to simple approaches for matching score calculation and reference point placement. This paper proposes two techniques to improve performance of phase-based correspondencematching for contactless palmprint recognition. First technique analyzes location of corresponding points and defines a new matching score. Second one selects location of reference points suggested by a Difference of Gaussians (DoG) filter. Through a set of experiments using CASIA contactless palmprint database, we demonstrate that the proposed techniques improve performance of phase-based correspondence matching and exhibit good performance compared with conventional palmprint recognition algorithms.

Original language	English
Title of host publication	Proceedings - 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014
Publisher	IEEE Computer Society
Pages	70-77
Number of pages	8
ISBN (Electronic)	9781479943098, 9781479943098
DOIs	https://doi.org/10.1109/CVPRW.2014.16
Publication status	Published - 2014 Sept 24
Event	2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014 - Columbus, United States Duration: 2014 Jun 23 → 2014 Jun 28

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014
Country/Territory	United States
City	Columbus
Period	14/6/23 → 14/6/28

Keywords

biometrics
correspondence matching
palmprint
phase-only correlation

Access to Document

10.1109/CVPRW.2014.16

Cite this

Roux, V., Aoyama, S., Ito, K., & Aoki, T. (2014). Performance improvement of phase-based correspondence matching for palmprint recognition. In Proceedings - 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014 (pp. 70-77). Article 6909961 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). IEEE Computer Society. https://doi.org/10.1109/CVPRW.2014.16

Roux, Vincent ; Aoyama, Shoichiro ; Ito, Koichi et al. / Performance improvement of phase-based correspondence matching for palmprint recognition. Proceedings - 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014. IEEE Computer Society, 2014. pp. 70-77 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

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title = "Performance improvement of phase-based correspondence matching for palmprint recognition",

abstract = "The use of phase-based correspondence matching for biometric recognition makes it possible to find corresponding point pairs between images having nonlinear deformation. On the other hand, the optimal recognition performance cannot be exhibited due to simple approaches for matching score calculation and reference point placement. This paper proposes two techniques to improve performance of phase-based correspondencematching for contactless palmprint recognition. First technique analyzes location of corresponding points and defines a new matching score. Second one selects location of reference points suggested by a Difference of Gaussians (DoG) filter. Through a set of experiments using CASIA contactless palmprint database, we demonstrate that the proposed techniques improve performance of phase-based correspondence matching and exhibit good performance compared with conventional palmprint recognition algorithms.",

keywords = "biometrics, correspondence matching, palmprint, phase-only correlation",

author = "Vincent Roux and Shoichiro Aoyama and Koichi Ito and Takafumi Aoki",

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Roux, V, Aoyama, S, Ito, K & Aoki, T 2014, Performance improvement of phase-based correspondence matching for palmprint recognition. in Proceedings - 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014., 6909961, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Computer Society, pp. 70-77, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014, Columbus, United States, 14/6/23. https://doi.org/10.1109/CVPRW.2014.16

Performance improvement of phase-based correspondence matching for palmprint recognition. / Roux, Vincent; Aoyama, Shoichiro; Ito, Koichi et al.
Proceedings - 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014. IEEE Computer Society, 2014. p. 70-77 6909961 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

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

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AB - The use of phase-based correspondence matching for biometric recognition makes it possible to find corresponding point pairs between images having nonlinear deformation. On the other hand, the optimal recognition performance cannot be exhibited due to simple approaches for matching score calculation and reference point placement. This paper proposes two techniques to improve performance of phase-based correspondencematching for contactless palmprint recognition. First technique analyzes location of corresponding points and defines a new matching score. Second one selects location of reference points suggested by a Difference of Gaussians (DoG) filter. Through a set of experiments using CASIA contactless palmprint database, we demonstrate that the proposed techniques improve performance of phase-based correspondence matching and exhibit good performance compared with conventional palmprint recognition algorithms.

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KW - phase-only correlation

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Roux V, Aoyama S, Ito K , Aoki T. Performance improvement of phase-based correspondence matching for palmprint recognition. In Proceedings - 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014. IEEE Computer Society. 2014. p. 70-77. 6909961. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops). doi: 10.1109/CVPRW.2014.16

Performance improvement of phase-based correspondence matching for palmprint recognition

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