A finger-knuckle-print recognition algorithm using phase-based local block matching

Shoichiro Aoyama, Koichi Ito, Takafumi Aoki

Research output: Contribution to journalArticle

27 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 recognition applications. To calculate the matching score, the proposed algorithm corrects the global and local deformation between FKP images using phase-based correspondence matching and the BLPOC-based local block matching, respectively. Experimental evaluation using the PolyU FKP database demonstrates the efficient recognition performance of the proposed algorithm compared with the state-of-the-art conventional algorithms.

Original languageEnglish
Pages (from-to)53-64
Number of pages12
JournalInformation Sciences
Volume268
DOIs
Publication statusPublished - 2014 Jun 1

Keywords

  • Biometric
  • Finger-knuckle-print
  • Local block matching
  • Phase-only correlation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Software
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'A finger-knuckle-print recognition algorithm using phase-based local block matching'. Together they form a unique fingerprint.

  • Cite this