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Proceedings Paper

Fingerprint verification using direction images and local features
Author(s): Edward K. Wong; Yao Wang; Syng-Yup Ohn
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Paper Abstract

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.

Paper Details

Date Published: 3 February 2009
PDF: 8 pages
Proc. SPIE 7251, Image Processing: Machine Vision Applications II, 725109 (3 February 2009); doi: 10.1117/12.806391
Show Author Affiliations
Edward K. Wong, Polytechnic Institute of NYU (United States)
Yao Wang, Polytechnic Institute of NYU (United States)
Syng-Yup Ohn, Korean Aerospace Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 7251:
Image Processing: Machine Vision Applications II
Kurt S. Niel; David Fofi, Editor(s)

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