[Invited Paper] Recent Advances in Biometric Recognition

• Ito Koichi

  Graduate School of Information Sciences, Tohoku University

• Aoki Takafumi

  Graduate School of Information Sciences, Tohoku University

Abstract

This paper presents recent advances in biometric recognition, where we focus on face, fingerprint and iris recognition, which are major research topics on biometric recognition. We summarize the research trend of face, fingerprint and iris recognition over the past decade. This paper also presents our activities of biometric recognition. Our approach employs the phase information obtained by Discrete Fourier Transform (DFT) of images. The phase information preserves the inherent features of the image, and its correlation function, called phase correlation or Phase-Only Correlation (POC), gives us both the good similarity measure for biometric recognition and the translational displacement for image registration. Our approach of using phase information has been successfully applied to fingerprint, face, iris, palmprint, finger knuckle and dental recognition. Among them, we present some interesting results of palmprint recognition, finger knuckle recognition and dental recognition.

Journal

• ITE Transactions on Media Technology and Applications

  ITE Transactions on Media Technology and Applications 6 (1), 64-80, 2018

  The Institute of Image Information and Television Engineers

Keywords

• biometrics
• face recognition
• fingerprint recognition
• iris recognition
• palmprint recognition
• finger knuckle recognition
• disaster victim identification
• phase-only correlation

Details

• CRID: 1390001205423584896
• NII Article ID: 130006301766
• DOI: 10.3169/mta.6.64
• ISSN: 21867364
• Web Site: https://www.jstage.jst.go.jp/article/mta/6/1/6_64/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed