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

Shoichiro Aoyama, Koichi Ito, Takafumi Aoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication1st Asian Conference on Pattern Recognition, ACPR 2011
Pages525-529
Number of pages5
DOIs
Publication statusPublished - 2011 Dec 1
Event1st Asian Conference on Pattern Recognition, ACPR 2011 - Beijing, China
Duration: 2011 Nov 282011 Nov 28

Publication series

Name1st Asian Conference on Pattern Recognition, ACPR 2011

Other

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

Keywords

  • biometrics
  • finger-knuckle-print
  • local block matching
  • phase-only correlation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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