A new method for fingerprint antispoofing using pulse oxiometry

P. Venkata Reddy, Ajay Kumar Pathak, S. M K Rahman, Tanvir Singh Mundra

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

19 Citations (Scopus)

Abstract

The deployment of fingerprint sensors is increasingly becoming common and has now gained high user acceptance. However, fingerprint sensors are susceptible to spoofing using artificial materials or in worst case to the dismembered fingers. Fake/gummy fingerprints have shown to fool most commercial fingerprint systems. This paper proposes a new method of anti-spoofing using reliable liveness detection. The proposed method of liveness detection is based on pulse oximetry and involves the known source of light originating from a probe at two wavelengths. The light is partly absorbed by haemoglobin, by amounts which differ depending on whether it is saturated with oxygen or deoxygenated haemoglobin. We then perform the computations for the absorption at two wavelengths to estimate the proportion of haemoglobin which is oxygenated. The computed percentage of oxygen in the saturated blood, along with the heart pulse rate, determines the liveness of enrolled biometric. Our experimental results demonstrate that the developed prototype can successfully thwart the spoof attacks (including those based on dismembered fingers).
Original languageEnglish
Title of host publicationIEEE Conference on Biometrics
Subtitle of host publicationTheory, Applications and Systems, BTAS'07
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event1st IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS '07 - Crystal City, VA, United States
Duration: 27 Sep 200729 Sep 2007

Conference

Conference1st IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS '07
CountryUnited States
CityCrystal City, VA
Period27/09/0729/09/07

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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