Fingerprint verification using direction images and local features

Edward K. Wong, Yao Wang, Syng Yup Ohn

Research output: Contribution to journalConference articlepeer-review


In this paper, we present a novel method for fingerprint verification. A unique characteristic of our method is the use of direction images and local features in the matching process. A direction center is computed from the direction image and used as a reference point for aligning fingerprints. Fingerprint matching is performed in two stages. In the first stage, we compute the correlation between the direction images of the two fingerprints. In the second stage, we compare various features derived from fingerprint minutiae. The first stage acts as a filtering procedure that rejects fingerprints based on the global directional patterns of the ridges. The second stage verifies the local characteristics of the fingerprint minutiae. The two-stage matching process results in a robust procedure that minimizes verification errors.

Original languageEnglish (US)
Article number725109
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2009
EventImage Processing: Machine Vision Applications II - San Jose, CA, United States
Duration: Jan 20 2009Jan 22 2009


  • Biometrics
  • Direction images
  • Fingerprint minutiae
  • Fingerprint verification
  • Ridge detection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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