Performance improvement of phase-based correspondence matching for palmprint recognition

Vincent Roux, Shoichiro Aoyama, Koichi Ito, Takafumi Aoki

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014
出版社IEEE Computer Society
ページ70-77
ページ数8
ISBN(電子版)9781479943098, 9781479943098
DOI
出版ステータスPublished - 2014 9月 24
イベント2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014 - Columbus, United States
継続期間: 2014 6月 232014 6月 28

出版物シリーズ

名前IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
ISSN(印刷版)2160-7508
ISSN(電子版)2160-7516

Other

Other2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014
国/地域United States
CityColumbus
Period14/6/2314/6/28

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学

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