Finger-Knuckle-Print recognition using BLPOC-based local block matching

Shoichiro Aoyama, Koichi Ito, Takafumi Aoki

研究成果: Conference contribution

20 被引用数 (Scopus)

抄録

This paper proposes a Finger-Knuckle-Print (FKP) recognition algorithm using Band-Limited Phase-Only Correlation (BLPOC)-based local block matching. The phase information obtained from 2D Discrete Fourier Transform (DFT) of images contains important information of image representation. The phase-based image matching, especially BLPOC-based image matching is successfully applied to image recognition tasks for biometric authentication applications. To calculate the matching score, the proposed algorithm corrects the global and local distortion between FKP images using the BLPOC-based local block matching. Experimental evaluation using the PolyU FKP database demonstrates efficient recognition performance of the proposed algorithm compared with the conventional algorithms.

本文言語English
ホスト出版物のタイトル1st Asian Conference on Pattern Recognition, ACPR 2011
ページ525-529
ページ数5
DOI
出版ステータスPublished - 2011 12 1
イベント1st Asian Conference on Pattern Recognition, ACPR 2011 - Beijing, China
継続期間: 2011 11 282011 11 28

出版物シリーズ

名前1st Asian Conference on Pattern Recognition, ACPR 2011

Other

Other1st Asian Conference on Pattern Recognition, ACPR 2011
CountryChina
CityBeijing
Period11/11/2811/11/28

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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