Fingerprint verification using direction images and local features

Edward K. Wong; Yao Wang; Syng-Yup Ohn

doi:10.1117/12.806391

2 February 2009 Fingerprint verification using direction images and local features

Edward K. Wong, Yao Wang, Syng-Yup Ohn

Proceedings Volume 7251, Image Processing: Machine Vision Applications II; 725109 (2009) https://doi.org/10.1117/12.806391
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

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.

Citation Download Citation

Edward K. Wong, Yao Wang, and Syng-Yup Ohn "Fingerprint verification using direction images and local features", Proc. SPIE 7251, Image Processing: Machine Vision Applications II, 725109 (2 February 2009); https://doi.org/10.1117/12.806391

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KEYWORDS

Image processing

Databases

Feature extraction

Binary data

Computing systems

Scanners

Biometrics

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