MonogenicCode: A novel fast feature coding algorithm with applications to finger-knuckle-print recognition

Lin Zhang, Lei Zhang, Dapeng Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

30 Citations (Scopus)

Abstract

Biometrics based personal authentication is an effective method for recognizing a person's identity. Recently, it is found that the finger-knuckle-print (FKP), which refers to the inherent skin patterns of the outer surface around the phalangeal joint of one's finger, can serve as a distinctive biometric identifier. In this paper, a novel feature extraction and coding method, namely MonogenicCode, is presented based on the monogenic signal theory, and is applied to FKP recognition. For each image pixel, the associated MonogenicCode is a 3-bits vector obtained by binarizing the monogenic signal at this position, and it can reflect the local phase and orientation information at that position. Experiments conducted on our established FKP database indicate that this new method achieves competitive verification accuracy with state-of-the-art methods, while it needs the least time for feature extraction, making it the best choice for real-time applications.
Original languageEnglish
Title of host publicationEmerging Techniques and Challenges for Hand-Based Biometrics, ETCHB 2010
DOIs
Publication statusPublished - 22 Oct 2010
Event1st International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics, ETCHB 2010 - Istanbul, Turkey
Duration: 22 Aug 201022 Aug 2010

Conference

Conference1st International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics, ETCHB 2010
CountryTurkey
CityIstanbul
Period22/08/1022/08/10

Keywords

  • Biometrics
  • Finger-knuckle-print
  • Monogenic signal

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering

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