Data acquisition and quality analysis of 3-dimensional fingerprints

Yongchang Wang, Qi Hao, Abhishika Fatehpuria, Laurence G. Hassebrook, Daniel L. Lau

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

This paper introduces a new technology of non-contact 3D fingerprint capture and processing for higher quality fingerprint data acquisition. The system relies on a real-time 3D sensor using structured light illumination (SLI), which generates both texture and detailed ridge depth information. The high resolution 3D scans are then converted into flat equivalent images. As a result, many limitations imposed upon conventional fingerprint capture and processing can be reduced by the unobtrusiveness of this approach and the extra depth information acquired. The image quality is evaluated and analyzed using NIST fingerprint image software. A comparison is performed between the unraveled 3D fingerprints and their 2D plain counterparts in terms of fingerprint quality.

Original languageEnglish
Title of host publication2009 1st IEEE International Conference on Biometrics, Identity and Security, BIdS 2009
DOIs
StatePublished - 2009
Event2009 1st IEEE International Conference on Biometrics, Identity and Security, BIdS 2009 - Tampa, FL, United States
Duration: Sep 22 2009Sep 23 2009

Publication series

Name2009 1st IEEE International Conference on Biometrics, Identity and Security, BIdS 2009

Conference

Conference2009 1st IEEE International Conference on Biometrics, Identity and Security, BIdS 2009
Country/TerritoryUnited States
CityTampa, FL
Period9/22/099/23/09

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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